Galnet - WordNet 3.0 do Galego

[0] 02911627-a | eng: statistical | glg: estatístico { [1] statistics }

[+1] 1 has_derived 00079232-r | eng: statistically | glg: estatisticamente { [2] statistics } [+1] 2 pertains_to 06018465-n | eng: statistics | glg: estatística { [2] math } [+2] 1 has_mero_part 06020737-n | eng: statistical_method, statistical_procedure { [1] statistics } [+3] 1 has_hyponym 06021013-n | eng: least_squares, method_of_least_squares | glg: mínimos_cadrados { [1] statistics } [+3] 2 has_hyponym 06021247-n | eng: multivariate_analysis { [1] statistics } [+4] 1 has_hyponym 06027613-n | eng: multiple_correlation, multiple_regression { [1] statistics } [+5] 1 has_hyponym 06027843-n | eng: multicollinearity { [1] statistics } [+4] 2 has_hyponym 06028021-n | eng: regression_analysis { [1] statistics } [+4] 3 has_hyponym 06029830-n | eng: correlational_analysis { [1] statistics } [+5] 1 has_hyponym 06030196-n | eng: factor_analysis { [1] statistics } [+6] 1 has_pertainym 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+6] 2 related_to 00736429-v | eng: factor_analyse, factor_analyze { [2] statistics } [+6] 3 related_to 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+4] 4 has_hyponym 06030601-n | eng: analysis_of_variance, ANOVA { [1] statistics } [+3] 3 has_hyponym 06027264-n | eng: regression, regression_toward_the_mean, simple_regression, statistical_regression { [1] statistics } [+4] 1 has_hyponym 06028904-n | eng: linear_regression, rectilinear_regression { [1] statistics } [+4] 2 has_hyponym 06029118-n | eng: curvilinear_regression { [1] statistics } [+2] 2 related_to 02911627-a | eng: statistical | glg: estatístico { [1] statistics } [+2] 3 related_to 10652954-n | eng: actuary, statistician | glg: actuario { [1] statistics } [+3] 1 has_pertainym 02939542-a | eng: actuarial { [2] statistics } [+4] 1 related_to 10652954-n | eng: actuary, statistician | glg: actuario { [1] statistics } [+2] 4 related_to 10653238-n | eng: mathematical_statistician, statistician { [2] scientist } [+2] 5 category_term 00161888-n | eng: sampling | glg: mostraxe { [1] statistics } [+3] 1 has_hyponym 00162055-n | eng: random_sampling { [2] statistics } [+4] 1 has_hyponym 00162236-n | eng: lucky_dip { [3] statistics } [+3] 2 has_hyponym 00162417-n | eng: proportional_sampling, representative_sampling, stratified_sampling { [2] statistics } [+2] 6 category_term 00240197-a | eng: bimodal | glg: bimodal { [1] statistics } [+2] 7 category_term 00240323-a | eng: unimodal | glg: unimodal { [1] statistics } [+2] 8 category_term 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+3] 1 related_to 06021761-n | eng: average, norm | glg: media { [1] statistics } [+3] 2 related_to 06023969-n | eng: mean, mean_value { [1] statistics } [+3] 3 related_to 14501172-n | eng: averageness { [2] condition } [+2] 9 category_term 01594472-a | eng: average, median | glg: medio { [1] statistics } [+3] 1 related_to 06023821-n | eng: median, median_value { [1] statistics } [+2] 10 category_term 01594811-a | eng: average, modal | glg: modal { [1] statistics } [+3] 1 related_to 06023675-n | eng: modal_value, mode { [1] statistics } [+2] 11 category_term 01597702-a | eng: subnormal | glg: menor_do_habitual { [1] statistics } [+3] 1 related_to 05646218-n | eng: backwardness, mental_retardation, retardation, slowness, subnormality | glg: atraso { [3] cognition } [+3] 2 related_to 10669876-n | eng: subnormal | glg: deficiente_mental, subnormal { [2] human } [+3] 3 related_to 14505667-n | eng: subnormality { [1] abnormalcy } [+2] 12 category_term 01597928-a | eng: supernormal { [1] statistics } [+2] 13 category_term 01924585-a | eng: ergodic { [1] statistics } [+2] 14 category_term 01925000-a | eng: stochastic { [1] statistics } [+3] 1 has_derived 00467147-r | eng: stochastically { [2] statistics } [+2] 15 category_term 02165655-a | eng: significant | glg: significativo { [1] statistics } [+3] 1 has_derived 00509970-r | eng: significantly | glg: significativamente { [2] statistics } [+2] 16 category_term 02165925-a | eng: nonsignificant | glg: non_significativo { [1] statistics } [+2] 17 category_term 02505004-a | eng: multivariate { [1] statistics } [+2] 18 category_term 02662647-v | eng: co-vary { [2] statistics } [+3] 1 related_to 06025287-n | eng: covariance { [1] statistics } [+3] 2 related_to 06032752-n | eng: covariation { [1] statistics } [+2] 19 category_term 02911488-a | eng: nonparametric { [1] statistics } [+3] 1 pertains_to 06022727-n | eng: distribution_free_statistic, nonparametric_statistic { [1] statistics } [+2] 20 category_term 05729036-n | eng: distribution, statistical_distribution | glg: distribución { [1] arrangement } [+3] 1 has_hyponym 05729362-n | eng: equidistribution { [2] arrangement } [+3] 2 has_hyponym 06025521-n | eng: frequency_distribution { [1] statistics } [+3] 3 has_hyponym 06025689-n | eng: Gaussian_distribution, normal_distribution | glg: distribución_normal { [1] statistics } [+3] 4 has_hyponym 06025854-n | eng: Poisson_distribution { [1] statistics } [+3] 5 has_hyponym 06026635-n | eng: sample, sample_distribution, sampling | glg: mostra, mostraxe { [1] statistics } [+4] 1 has_hyponym 00806621-n | eng: acceptance_sampling { [2] statistics } [+4] 2 has_hyponym 06026885-n | eng: random_sample { [1] statistics } [+4] 3 has_hyponym 06027051-n | eng: proportional_sample, representative_sample, stratified_sample { [1] statistics } [+3] 6 has_hyponym 06036697-n | eng: Bernoulli_distribution, binomial_distribution { [1] statistics } [+2] 21 category_term 05737752-n | eng: centile, percentile { [1] statistics } [+2] 22 category_term 05737982-n | eng: decile { [1] statistics } [+2] 23 category_term 05738204-n | eng: quartile { [1] statistics } [+2] 24 category_term 05822085-n | eng: cross_section { [1] statistics } [+3] 1 related_to 02943631-a | eng: cross-sectional { [2] statistics } [+4] 1 pertains_to 08548065-n | eng: cross_section | glg: sección_transversal { [2] geometry } [+5] 1 related_to 01446240-a | eng: cross-section, cross-sectional { [3] geometry } [+2] 25 category_term 05822337-n | eng: grab_sample { [1] statistics } [+2] 26 category_term 05822507-n | eng: random_sample { [1] statistics } [+2] 27 category_term 05858093-n | eng: experimental_variable, independent_variable { [1] statistics } [+3] 1 has_hyponym 05858317-n | eng: factor { [2] statistics } [+2] 28 category_term 05858551-n | eng: degree_of_freedom { [1] statistics } [+2] 29 category_term 05858699-n | eng: dependent_variable { [1] statistics } [+2] 30 category_term 05863736-n | eng: predictor_variable { [1] statistics } [+2] 31 category_term 05875148-n | eng: Bernoulli's_law, law_of_large_numbers { [1] statistics } [+2] 32 category_term 05918379-n | eng: Bayes'_theorem | glg: teorema_de_Bayes { [1] statistics } [+3] 1 has_pertainym 02625430-a | eng: Bayesian { [2] statistics } [+2] 33 category_term 05918704-n | eng: Bayes'_postulate { [1] statistics } [+2] 34 category_term 06020737-n | eng: statistical_method, statistical_procedure { [1] statistics } [+3] 1 has_hyponym 06021013-n | eng: least_squares, method_of_least_squares | glg: mínimos_cadrados { [1] statistics } [+3] 2 has_hyponym 06021247-n | eng: multivariate_analysis { [1] statistics } [+4] 1 has_hyponym 06027613-n | eng: multiple_correlation, multiple_regression { [1] statistics } [+5] 1 has_hyponym 06027843-n | eng: multicollinearity { [1] statistics } [+4] 2 has_hyponym 06028021-n | eng: regression_analysis { [1] statistics } [+4] 3 has_hyponym 06029830-n | eng: correlational_analysis { [1] statistics } [+5] 1 has_hyponym 06030196-n | eng: factor_analysis { [1] statistics } [+6] 1 has_pertainym 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+6] 2 related_to 00736429-v | eng: factor_analyse, factor_analyze { [2] statistics } [+6] 3 related_to 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+4] 4 has_hyponym 06030601-n | eng: analysis_of_variance, ANOVA { [1] statistics } [+3] 3 has_hyponym 06027264-n | eng: regression, regression_toward_the_mean, simple_regression, statistical_regression { [1] statistics } [+4] 1 has_hyponym 06028904-n | eng: linear_regression, rectilinear_regression { [1] statistics } [+4] 2 has_hyponym 06029118-n | eng: curvilinear_regression { [1] statistics } [+2] 35 category_term 06021013-n | eng: least_squares, method_of_least_squares | glg: mínimos_cadrados { [1] statistics } [+2] 36 category_term 06021247-n | eng: multivariate_analysis { [1] statistics } [+3] 1 has_hyponym 06027613-n | eng: multiple_correlation, multiple_regression { [1] statistics } [+4] 1 has_hyponym 06027843-n | eng: multicollinearity { [1] statistics } [+3] 2 has_hyponym 06028021-n | eng: regression_analysis { [1] statistics } [+3] 3 has_hyponym 06029830-n | eng: correlational_analysis { [1] statistics } [+4] 1 has_hyponym 06030196-n | eng: factor_analysis { [1] statistics } [+5] 1 has_pertainym 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+6] 1 related_to 06030196-n | eng: factor_analysis { [1] statistics } [+5] 2 related_to 00736429-v | eng: factor_analyse, factor_analyze { [2] statistics } [+5] 3 related_to 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+6] 1 pertains_to 06030196-n | eng: factor_analysis { [1] statistics } [+3] 4 has_hyponym 06030601-n | eng: analysis_of_variance, ANOVA { [1] statistics } [+2] 37 category_term 06021499-n | eng: statistic | glg: estatística { [1] statistics } [+3] 1 has_hyponym 06021761-n | eng: average, norm | glg: media { [1] statistics } [+4] 1 has_hyponym 06023243-n | eng: age_norm { [2] statistics } [+4] 2 has_hyponym 06023675-n | eng: modal_value, mode { [1] statistics } [+5] 1 related_to 01594811-a | eng: average, modal | glg: modal { [1] statistics } [+4] 3 has_hyponym 06023821-n | eng: median, median_value { [1] statistics } [+5] 1 related_to 01594472-a | eng: average, median | glg: medio { [1] statistics } [+4] 4 has_hyponym 06023969-n | eng: mean, mean_value { [1] statistics } [+5] 1 has_hyponym 06024230-n | eng: arithmetic_mean, expectation, expected_value, first_moment | glg: valor_esperado { [1] statistics } [+5] 2 has_hyponym 06024431-n | eng: geometric_mean | glg: media_xeométrica { [1] statistics } [+5] 3 has_hyponym 06024576-n | eng: harmonic_mean | glg: media_harmónica { [1] statistics } [+5] 4 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+4] 5 related_to 00639998-v | eng: average, average_out { [2] statistics } [+4] 6 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+4] 7 related_to 02527294-v | eng: average { [2] statistics } [+4] 8 related_to 02645389-v | eng: average, average_out { [2] statistics } [+3] 2 has_hyponym 06022076-n | eng: demographic { [1] statistics } [+4] 1 related_to 02906351-a | eng: demographic | glg: demográfico, poboacional { [2] statistics } [+5] 1 pertains_to 06152125-n | eng: demography, human_ecology | glg: demografía { [3] science } [+6] 1 related_to 10002257-n | eng: demographer, demographist, population_scientist | glg: demógrafo { [3] scientist } [+3] 3 has_hyponym 06022291-n | eng: deviation { [1] statistics } [+4] 1 has_hyponym 06023369-n | eng: outlier { [1] statistics } [+4] 2 has_hyponym 06023476-n | eng: mean_deviation, mean_deviation_from_the_mean { [1] statistics } [+4] 3 related_to 02661252-v | eng: depart, deviate, diverge, vary { [2] being [2] activity } [+3] 4 has_hyponym 06022509-n | eng: moment { [1] statistics } [+4] 1 has_hyponym 06024761-n | eng: second_moment { [1] statistics } [+4] 2 has_hyponym 06024936-n | eng: variance | glg: varianza { [1] statistics } [+5] 1 has_hyponym 06025172-n | eng: standard_deviation | glg: desvío_estándar { [1] statistics } [+5] 2 has_hyponym 06025287-n | eng: covariance { [1] statistics } [+6] 1 related_to 02504830-a | eng: covariant { [2] statistics } [+6] 2 related_to 02662647-v | eng: co-vary { [2] statistics } [+6] 3 related_to 06032752-n | eng: covariation { [1] statistics } [+3] 5 has_hyponym 06022727-n | eng: distribution_free_statistic, nonparametric_statistic { [1] statistics } [+4] 1 has_hyponym 06034301-n | eng: rank-difference_correlation, rank-difference_correlation_coefficient, rank-order_correlation, rank-order_correlation_coefficient { [1] statistics } [+4] 2 has_hyponym 06034611-n | eng: Kendall_test { [1] statistics } [+5] 1 has_hyponym 06034870-n | eng: Kendall_partial_rank_correlation { [1] statistics } [+5] 2 has_hyponym 06035014-n | eng: coefficient_of_concordance { [1] statistics } [+5] 3 has_hyponym 06035213-n | eng: Kendall's_tau, Kendall_rank_correlation, tau_coefficient_of_correlation { [1] statistics } [+4] 3 has_hyponym 06035413-n | eng: fourfold_point_correlation, phi_coefficient, phi_correlation { [1] statistics } [+4] 4 has_pertainym 02911488-a | eng: nonparametric { [1] statistics } [+3] 6 has_hyponym 06023022-n | eng: parametric_statistic { [1] statistics } [+4] 1 has_hyponym 06028566-n | eng: regression_coefficient { [1] statistics } [+4] 2 has_hyponym 06032246-n | eng: coefficient_of_correlation, correlation, correlation_coefficient | glg: correlación { [1] statistics } [+5] 1 has_hyponym 06033427-n | eng: Pearson_product-moment_correlation_coefficient, product-moment_correlation_coefficient { [1] statistics } [+5] 2 has_hyponym 06033692-n | eng: multiple_correlation_coefficient { [1] statistics } [+5] 3 has_hyponym 06033889-n | eng: biserial_correlation, biserial_correlation_coefficient { [1] statistics } [+5] 4 has_hyponym 06035674-n | eng: chance-half_correlation, split-half_correlation { [1] statistics } [+5] 5 has_hyponym 06035918-n | eng: tetrachoric_correlation, tetrachoric_correlation_coefficient { [1] statistics } [+5] 6 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+5] 7 related_to 02658979-v | eng: correlate { [2] statistics } [+5] 8 related_to 02704461-a | eng: correlational { [2] statistics } [+6] 1 pertains_to 13841651-n | eng: correlation, correlativity | glg: correlación { [2] relation } [+3] 7 has_hyponym 06029547-n | eng: time_series { [1] statistics } [+3] 8 has_hyponym 06029676-n | eng: vital_statistics { [1] statistics } [+2] 38 category_term 06021761-n | eng: average, norm | glg: media { [1] statistics } [+3] 1 has_hyponym 06023243-n | eng: age_norm { [2] statistics } [+3] 2 has_hyponym 06023675-n | eng: modal_value, mode { [1] statistics } [+4] 1 related_to 01594811-a | eng: average, modal | glg: modal { [1] statistics } [+3] 3 has_hyponym 06023821-n | eng: median, median_value { [1] statistics } [+4] 1 related_to 01594472-a | eng: average, median | glg: medio { [1] statistics } [+3] 4 has_hyponym 06023969-n | eng: mean, mean_value { [1] statistics } [+4] 1 has_hyponym 06024230-n | eng: arithmetic_mean, expectation, expected_value, first_moment | glg: valor_esperado { [1] statistics } [+4] 2 has_hyponym 06024431-n | eng: geometric_mean | glg: media_xeométrica { [1] statistics } [+4] 3 has_hyponym 06024576-n | eng: harmonic_mean | glg: media_harmónica { [1] statistics } [+4] 4 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+3] 5 related_to 00639998-v | eng: average, average_out { [2] statistics } [+3] 6 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+3] 7 related_to 02527294-v | eng: average { [2] statistics } [+3] 8 related_to 02645389-v | eng: average, average_out { [2] statistics } [+2] 39 category_term 06022076-n | eng: demographic { [1] statistics } [+3] 1 related_to 02906351-a | eng: demographic | glg: demográfico, poboacional { [2] statistics } [+4] 1 pertains_to 06152125-n | eng: demography, human_ecology | glg: demografía { [3] science } [+5] 1 related_to 10002257-n | eng: demographer, demographist, population_scientist | glg: demógrafo { [3] scientist } [+2] 40 category_term 06022291-n | eng: deviation { [1] statistics } [+3] 1 has_hyponym 06023369-n | eng: outlier { [1] statistics } [+3] 2 has_hyponym 06023476-n | eng: mean_deviation, mean_deviation_from_the_mean { [1] statistics } [+3] 3 related_to 02661252-v | eng: depart, deviate, diverge, vary { [2] being [2] activity } [+2] 41 category_term 06022509-n | eng: moment { [1] statistics } [+3] 1 has_hyponym 06024761-n | eng: second_moment { [1] statistics } [+3] 2 has_hyponym 06024936-n | eng: variance | glg: varianza { [1] statistics } [+4] 1 has_hyponym 06025172-n | eng: standard_deviation | glg: desvío_estándar { [1] statistics } [+4] 2 has_hyponym 06025287-n | eng: covariance { [1] statistics } [+5] 1 related_to 02504830-a | eng: covariant { [2] statistics } [+5] 2 related_to 02662647-v | eng: co-vary { [2] statistics } [+5] 3 related_to 06032752-n | eng: covariation { [1] statistics } [+2] 42 category_term 06022727-n | eng: distribution_free_statistic, nonparametric_statistic { [1] statistics } [+3] 1 has_hyponym 06034301-n | eng: rank-difference_correlation, rank-difference_correlation_coefficient, rank-order_correlation, rank-order_correlation_coefficient { [1] statistics } [+3] 2 has_hyponym 06034611-n | eng: Kendall_test { [1] statistics } [+4] 1 has_hyponym 06034870-n | eng: Kendall_partial_rank_correlation { [1] statistics } [+4] 2 has_hyponym 06035014-n | eng: coefficient_of_concordance { [1] statistics } [+4] 3 has_hyponym 06035213-n | eng: Kendall's_tau, Kendall_rank_correlation, tau_coefficient_of_correlation { [1] statistics } [+3] 3 has_hyponym 06035413-n | eng: fourfold_point_correlation, phi_coefficient, phi_correlation { [1] statistics } [+3] 4 has_pertainym 02911488-a | eng: nonparametric { [1] statistics } [+2] 43 category_term 06023022-n | eng: parametric_statistic { [1] statistics } [+3] 1 has_hyponym 06028566-n | eng: regression_coefficient { [1] statistics } [+3] 2 has_hyponym 06032246-n | eng: coefficient_of_correlation, correlation, correlation_coefficient | glg: correlación { [1] statistics } [+4] 1 has_hyponym 06033427-n | eng: Pearson_product-moment_correlation_coefficient, product-moment_correlation_coefficient { [1] statistics } [+4] 2 has_hyponym 06033692-n | eng: multiple_correlation_coefficient { [1] statistics } [+4] 3 has_hyponym 06033889-n | eng: biserial_correlation, biserial_correlation_coefficient { [1] statistics } [+4] 4 has_hyponym 06035674-n | eng: chance-half_correlation, split-half_correlation { [1] statistics } [+4] 5 has_hyponym 06035918-n | eng: tetrachoric_correlation, tetrachoric_correlation_coefficient { [1] statistics } [+4] 6 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+4] 7 related_to 02658979-v | eng: correlate { [2] statistics } [+4] 8 related_to 02704461-a | eng: correlational { [2] statistics } [+5] 1 pertains_to 13841651-n | eng: correlation, correlativity | glg: correlación { [2] relation } [+6] 1 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+6] 2 related_to 01946267-a | eng: correlative { [1] grammar } [+6] 3 related_to 01974298-a | eng: correlate, correlated, correlative | glg: correlativo { [3] relation } [+6] 4 related_to 02658979-v | eng: correlate { [2] statistics } [+6] 5 related_to 02704461-a | eng: correlational { [2] statistics } [+2] 44 category_term 06023369-n | eng: outlier { [1] statistics } [+2] 45 category_term 06023476-n | eng: mean_deviation, mean_deviation_from_the_mean { [1] statistics } [+2] 46 category_term 06023675-n | eng: modal_value, mode { [1] statistics } [+3] 1 related_to 01594811-a | eng: average, modal | glg: modal { [1] statistics } [+2] 47 category_term 06023821-n | eng: median, median_value { [1] statistics } [+3] 1 related_to 01594472-a | eng: average, median | glg: medio { [1] statistics } [+2] 48 category_term 06023969-n | eng: mean, mean_value { [1] statistics } [+3] 1 has_hyponym 06024230-n | eng: arithmetic_mean, expectation, expected_value, first_moment | glg: valor_esperado { [1] statistics } [+3] 2 has_hyponym 06024431-n | eng: geometric_mean | glg: media_xeométrica { [1] statistics } [+3] 3 has_hyponym 06024576-n | eng: harmonic_mean | glg: media_harmónica { [1] statistics } [+3] 4 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+2] 49 category_term 06024230-n | eng: arithmetic_mean, expectation, expected_value, first_moment | glg: valor_esperado { [1] statistics } [+2] 50 category_term 06024431-n | eng: geometric_mean | glg: media_xeométrica { [1] statistics } [+2] 51 category_term 06024576-n | eng: harmonic_mean | glg: media_harmónica { [1] statistics } [+2] 52 category_term 06024761-n | eng: second_moment { [1] statistics } [+2] 53 category_term 06024936-n | eng: variance | glg: varianza { [1] statistics } [+3] 1 has_hyponym 06025172-n | eng: standard_deviation | glg: desvío_estándar { [1] statistics } [+3] 2 has_hyponym 06025287-n | eng: covariance { [1] statistics } [+4] 1 related_to 02504830-a | eng: covariant { [2] statistics } [+4] 2 related_to 02662647-v | eng: co-vary { [2] statistics } [+4] 3 related_to 06032752-n | eng: covariation { [1] statistics } [+2] 54 category_term 06025172-n | eng: standard_deviation | glg: desvío_estándar { [1] statistics } [+2] 55 category_term 06025287-n | eng: covariance { [1] statistics } [+3] 1 related_to 02504830-a | eng: covariant { [2] statistics } [+3] 2 related_to 02662647-v | eng: co-vary { [2] statistics } [+3] 3 related_to 06032752-n | eng: covariation { [1] statistics } [+2] 56 category_term 06025521-n | eng: frequency_distribution { [1] statistics } [+2] 57 category_term 06025689-n | eng: Gaussian_distribution, normal_distribution | glg: distribución_normal { [1] statistics } [+2] 58 category_term 06025854-n | eng: Poisson_distribution { [1] statistics } [+2] 59 category_term 06026088-n | eng: bell-shaped_curve, Gaussian_curve, Gaussian_shape, normal_curve { [1] curve } [+2] 60 category_term 06026276-n | eng: population, universe | glg: poboación { [1] accumulation } [+3] 1 has_hyponym 06026508-n | eng: subpopulation { [1] 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[+5] 4 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+4] 5 related_to 00639998-v | eng: average, average_out { [2] statistics } [+4] 6 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+4] 7 related_to 02527294-v | eng: average { [2] statistics } [+4] 8 related_to 02645389-v | eng: average, average_out { [2] statistics } [+3] 2 has_hyponym 06022076-n | eng: demographic { [1] statistics } [+4] 1 related_to 02906351-a | eng: demographic | glg: demográfico, poboacional { [2] statistics } [+5] 1 pertains_to 06152125-n | eng: demography, human_ecology | glg: demografía { [3] science } [+6] 1 related_to 10002257-n | eng: demographer, demographist, population_scientist | glg: demógrafo { [3] scientist } [+3] 3 has_hyponym 06022291-n | eng: deviation { [1] statistics } [+4] 1 has_hyponym 06023369-n | eng: outlier { [1] statistics } [+4] 2 has_hyponym 06023476-n | eng: mean_deviation, mean_deviation_from_the_mean { [1] statistics } [+4] 3 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Kendall_test { [1] statistics } [+5] 1 has_hyponym 06034870-n | eng: Kendall_partial_rank_correlation { [1] statistics } [+5] 2 has_hyponym 06035014-n | eng: coefficient_of_concordance { [1] statistics } [+5] 3 has_hyponym 06035213-n | eng: Kendall's_tau, Kendall_rank_correlation, tau_coefficient_of_correlation { [1] statistics } [+4] 3 has_hyponym 06035413-n | eng: fourfold_point_correlation, phi_coefficient, phi_correlation { [1] statistics } [+4] 4 has_pertainym 02911488-a | eng: nonparametric { [1] statistics } [+3] 6 has_hyponym 06023022-n | eng: parametric_statistic { [1] statistics } [+4] 1 has_hyponym 06028566-n | eng: regression_coefficient { [1] statistics } [+4] 2 has_hyponym 06032246-n | eng: coefficient_of_correlation, correlation, correlation_coefficient | glg: correlación { [1] statistics } [+5] 1 has_hyponym 06033427-n | eng: Pearson_product-moment_correlation_coefficient, product-moment_correlation_coefficient { [1] statistics } [+5] 2 has_hyponym 06033692-n | eng: multiple_correlation_coefficient { [1] statistics } [+5] 3 has_hyponym 06033889-n | eng: biserial_correlation, biserial_correlation_coefficient { [1] statistics } [+5] 4 has_hyponym 06035674-n | eng: chance-half_correlation, split-half_correlation { [1] statistics } [+5] 5 has_hyponym 06035918-n | eng: tetrachoric_correlation, tetrachoric_correlation_coefficient { [1] statistics } [+5] 6 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+5] 7 related_to 02658979-v | eng: correlate { [2] statistics } [+5] 8 related_to 02704461-a | eng: correlational { [2] statistics } [+6] 1 pertains_to 13841651-n | eng: correlation, correlativity | glg: correlación { [2] relation } [+3] 7 has_hyponym 06029547-n | eng: time_series { [1] statistics } [+3] 8 has_hyponym 06029676-n | eng: vital_statistics { [1] statistics } [+2] 35 category_term 06021761-n | eng: average, norm | glg: media { [1] statistics } [+3] 1 has_hyponym 06023243-n | eng: age_norm { [2] statistics } [+3] 2 has_hyponym 06023675-n | eng: modal_value, mode { [1] statistics } [+4] 1 related_to 01594811-a | eng: average, modal | glg: modal { [1] statistics } [+3] 3 has_hyponym 06023821-n | eng: median, median_value { [1] statistics } [+4] 1 related_to 01594472-a | eng: average, median | glg: medio { [1] statistics } [+3] 4 has_hyponym 06023969-n | eng: mean, mean_value { [1] statistics } [+4] 1 has_hyponym 06024230-n | eng: arithmetic_mean, expectation, expected_value, first_moment | glg: valor_esperado { [1] statistics } [+4] 2 has_hyponym 06024431-n | eng: geometric_mean | glg: media_xeométrica { [1] statistics } [+4] 3 has_hyponym 06024576-n | eng: harmonic_mean | glg: media_harmónica { [1] statistics } [+4] 4 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+3] 5 related_to 00639998-v | eng: average, average_out { [2] statistics } [+3] 6 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+3] 7 related_to 02527294-v | eng: average { [2] statistics } [+3] 8 related_to 02645389-v | eng: average, average_out { [2] statistics } [+2] 36 category_term 06022076-n | eng: demographic { [1] statistics } [+3] 1 related_to 02906351-a | eng: demographic | glg: demográfico, poboacional { [2] statistics } [+4] 1 pertains_to 06152125-n | eng: demography, human_ecology | glg: demografía { [3] science } [+5] 1 related_to 10002257-n | eng: demographer, demographist, population_scientist | glg: demógrafo { [3] scientist } [+2] 37 category_term 06022291-n | eng: deviation { [1] statistics } [+3] 1 has_hyponym 06023369-n | eng: outlier { [1] statistics } [+3] 2 has_hyponym 06023476-n | eng: mean_deviation, mean_deviation_from_the_mean { [1] statistics } [+3] 3 related_to 02661252-v | eng: depart, deviate, diverge, vary { [2] being [2] activity } [+2] 38 category_term 06022509-n | eng: moment { [1] statistics } [+3] 1 has_hyponym 06024761-n | eng: second_moment { [1] statistics } [+3] 2 has_hyponym 06024936-n | eng: variance | glg: varianza { [1] statistics } [+4] 1 has_hyponym 06025172-n | eng: standard_deviation | glg: desvío_estándar { [1] statistics } [+4] 2 has_hyponym 06025287-n | eng: covariance { [1] statistics } [+5] 1 related_to 02504830-a | eng: covariant { [2] statistics } [+5] 2 related_to 02662647-v | eng: co-vary { [2] statistics } [+5] 3 related_to 06032752-n | eng: covariation { [1] statistics } [+2] 39 category_term 06022727-n | eng: distribution_free_statistic, nonparametric_statistic { [1] statistics } [+3] 1 has_hyponym 06034301-n | eng: rank-difference_correlation, rank-difference_correlation_coefficient, rank-order_correlation, rank-order_correlation_coefficient { [1] statistics } [+3] 2 has_hyponym 06034611-n | eng: Kendall_test { [1] statistics } [+4] 1 has_hyponym 06034870-n | eng: Kendall_partial_rank_correlation { [1] statistics } [+4] 2 has_hyponym 06035014-n | eng: coefficient_of_concordance { [1] statistics } [+4] 3 has_hyponym 06035213-n | eng: Kendall's_tau, Kendall_rank_correlation, tau_coefficient_of_correlation { [1] statistics } [+3] 3 has_hyponym 06035413-n | eng: fourfold_point_correlation, phi_coefficient, phi_correlation { [1] statistics } [+3] 4 has_pertainym 02911488-a | eng: nonparametric { [1] statistics } [+2] 40 category_term 06023022-n | eng: parametric_statistic { [1] statistics } [+3] 1 has_hyponym 06028566-n | eng: regression_coefficient { [1] statistics } [+3] 2 has_hyponym 06032246-n | eng: coefficient_of_correlation, correlation, correlation_coefficient | glg: correlación { [1] statistics } [+4] 1 has_hyponym 06033427-n | eng: Pearson_product-moment_correlation_coefficient, product-moment_correlation_coefficient { [1] statistics } [+4] 2 has_hyponym 06033692-n | eng: multiple_correlation_coefficient { [1] statistics } [+4] 3 has_hyponym 06033889-n | eng: biserial_correlation, biserial_correlation_coefficient { [1] statistics } [+4] 4 has_hyponym 06035674-n | eng: chance-half_correlation, split-half_correlation { [1] statistics } [+4] 5 has_hyponym 06035918-n | eng: tetrachoric_correlation, tetrachoric_correlation_coefficient { [1] statistics } [+4] 6 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+4] 7 related_to 02658979-v | eng: correlate { [2] statistics } [+4] 8 related_to 02704461-a | eng: correlational { [2] statistics } [+5] 1 pertains_to 13841651-n | eng: correlation, correlativity | glg: correlación { [2] relation } [+6] 1 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+6] 2 related_to 01946267-a | eng: correlative { [1] grammar } [+6] 3 related_to 01974298-a | eng: correlate, correlated, correlative | glg: correlativo { [3] relation } [+6] 4 related_to 02658979-v | eng: correlate { [2] statistics } [+6] 5 related_to 02704461-a | eng: correlational { [2] statistics } [+2] 41 category_term 06023369-n | eng: outlier { [1] statistics } [+2] 42 category_term 06023476-n | eng: mean_deviation, mean_deviation_from_the_mean { [1] statistics } [+2] 43 category_term 06023675-n | eng: modal_value, mode { [1] statistics } [+3] 1 related_to 01594811-a | eng: average, modal | glg: modal { [1] statistics } [+2] 44 category_term 06023821-n | eng: median, median_value { [1] statistics } [+3] 1 related_to 01594472-a | eng: average, median | glg: medio { [1] statistics } [+2] 45 category_term 06023969-n | eng: mean, mean_value { [1] statistics } [+3] 1 has_hyponym 06024230-n | eng: arithmetic_mean, expectation, expected_value, first_moment | glg: valor_esperado { [1] statistics } [+3] 2 has_hyponym 06024431-n | eng: geometric_mean | glg: media_xeométrica { [1] statistics } [+3] 3 has_hyponym 06024576-n | eng: harmonic_mean | glg: media_harmónica { [1] statistics } [+3] 4 related_to 01594146-a | eng: average, mean | glg: medio { [1] statistics } [+2] 46 category_term 06024230-n | eng: arithmetic_mean, expectation, expected_value, first_moment | glg: valor_esperado { [1] statistics } [+2] 47 category_term 06024431-n | eng: geometric_mean | glg: media_xeométrica { [1] statistics } [+2] 48 category_term 06024576-n | eng: harmonic_mean | glg: media_harmónica { [1] statistics } [+2] 49 category_term 06024761-n | eng: second_moment { [1] statistics } [+2] 50 category_term 06024936-n | eng: variance | glg: varianza { [1] statistics } [+3] 1 has_hyponym 06025172-n | eng: standard_deviation | glg: desvío_estándar { [1] statistics } [+3] 2 has_hyponym 06025287-n | eng: covariance { [1] statistics } [+4] 1 related_to 02504830-a | eng: covariant { [2] statistics } [+4] 2 related_to 02662647-v | eng: co-vary { [2] statistics } [+4] 3 related_to 06032752-n | eng: covariation { [1] statistics } [+2] 51 category_term 06025172-n | eng: standard_deviation | glg: desvío_estándar { [1] statistics } [+2] 52 category_term 06025287-n | eng: covariance { [1] statistics } [+3] 1 related_to 02504830-a | eng: covariant { [2] statistics } [+3] 2 related_to 02662647-v | eng: co-vary { [2] statistics } [+3] 3 related_to 06032752-n | eng: covariation { [1] statistics } [+2] 53 category_term 06025521-n | eng: frequency_distribution { [1] statistics } [+2] 54 category_term 06025689-n | eng: Gaussian_distribution, normal_distribution | glg: distribución_normal { [1] statistics } [+2] 55 category_term 06025854-n | eng: Poisson_distribution { [1] statistics } [+2] 56 category_term 06026088-n | eng: bell-shaped_curve, Gaussian_curve, Gaussian_shape, normal_curve { [1] curve } [+2] 57 category_term 06026276-n | eng: population, universe | glg: poboación { [1] accumulation } [+3] 1 has_hyponym 06026508-n | eng: subpopulation { [1] statistics } [+2] 58 category_term 06026508-n | eng: subpopulation { [1] statistics } [+2] 59 category_term 06026635-n | eng: sample, sample_distribution, sampling | glg: mostra, mostraxe { [1] statistics } [+3] 1 has_hyponym 00806621-n | eng: acceptance_sampling { [2] statistics } [+3] 2 has_hyponym 06026885-n | eng: random_sample { [1] statistics } [+3] 3 has_hyponym 06027051-n | eng: proportional_sample, representative_sample, stratified_sample { [1] statistics } [+2] 60 category_term 06026885-n | eng: random_sample { [1] statistics } [+2] 61 category_term 06027051-n | eng: proportional_sample, representative_sample, stratified_sample { [1] statistics } [+2] 62 category_term 06027264-n | eng: regression, regression_toward_the_mean, simple_regression, statistical_regression { [1] statistics } [+3] 1 has_hyponym 06028904-n | eng: linear_regression, rectilinear_regression { [1] statistics } [+3] 2 has_hyponym 06029118-n | eng: curvilinear_regression { [1] statistics } [+2] 63 category_term 06027613-n | eng: multiple_correlation, multiple_regression { [1] statistics } [+3] 1 has_hyponym 06027843-n | eng: multicollinearity { [1] statistics } [+2] 64 category_term 06027843-n | eng: multicollinearity { [1] statistics } [+2] 65 category_term 06028021-n | eng: regression_analysis { [1] statistics } [+3] 1 has_mero_part 06027264-n | eng: regression, regression_toward_the_mean, simple_regression, statistical_regression { [1] statistics } [+4] 1 has_hyponym 06028904-n | eng: linear_regression, rectilinear_regression { [1] statistics } [+4] 2 has_hyponym 06029118-n | eng: curvilinear_regression { [1] statistics } [+3] 2 has_mero_part 06028260-n | eng: regression_equation, regression_of_y_on_x | glg: ecuación_de_regresión { [1] statistics } [+3] 3 has_mero_part 06029306-n | eng: regression_curve, regression_line | glg: liña_de_regresión { [1] statistics } [+2] 66 category_term 06028260-n | eng: regression_equation, regression_of_y_on_x | glg: ecuación_de_regresión { [1] statistics } [+2] 67 category_term 06028566-n | eng: regression_coefficient { [1] statistics } [+2] 68 category_term 06028904-n | eng: linear_regression, rectilinear_regression { [1] statistics } [+3] 1 has_mero_part 06028566-n | eng: regression_coefficient { [1] statistics } [+2] 69 category_term 06029118-n | eng: curvilinear_regression { [1] statistics } [+2] 70 category_term 06029306-n | eng: regression_curve, regression_line | glg: liña_de_regresión { [1] statistics } [+2] 71 category_term 06029547-n | eng: time_series { [1] statistics } [+2] 72 category_term 06029676-n | eng: vital_statistics { [1] statistics } [+2] 73 category_term 06029830-n | eng: correlational_analysis { [1] statistics } [+3] 1 has_hyponym 06030196-n | eng: factor_analysis { [1] statistics } [+4] 1 has_pertainym 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+5] 1 related_to 06030196-n | eng: factor_analysis { [1] statistics } [+4] 2 related_to 00736429-v | eng: factor_analyse, factor_analyze { [2] statistics } [+4] 3 related_to 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+5] 1 pertains_to 06030196-n | eng: factor_analysis { [1] statistics } [+3] 2 has_mero_part 06031248-n | eng: correlation, correlational_statistics { [1] statistics } [+4] 1 has_hyponym 06031657-n | eng: curvilinear_correlation, nonlinear_correlation, skew_correlation { [1] statistics } [+4] 2 has_hyponym 06031866-n | eng: partial_correlation { [1] statistics } [+5] 1 has_hyponym 06032066-n | eng: first-order_correlation { [1] statistics } [+4] 3 has_hyponym 06032898-n | eng: direct_correlation, positive_correlation { [1] statistics } [+4] 4 has_hyponym 06033172-n | eng: indirect_correlation, negative_correlation { [1] statistics } [+4] 5 has_hyponym 06036157-n | eng: spurious_correlation { [1] statistics } [+4] 6 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+4] 7 related_to 02658979-v | eng: correlate { [2] statistics } [+4] 8 related_to 02704461-a | eng: correlational { [2] statistics } [+5] 1 pertains_to 13841651-n | eng: correlation, correlativity | glg: correlación { [2] relation } [+6] 1 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+6] 2 related_to 01946267-a | eng: correlative { [1] grammar } [+6] 3 related_to 01974298-a | eng: correlate, correlated, correlative | glg: correlativo { [3] relation } [+6] 4 related_to 02658979-v | eng: correlate { [2] statistics } [+6] 5 related_to 02704461-a | eng: correlational { [2] statistics } [+2] 74 category_term 06030049-n | eng: correlation_matrix { [1] statistics } [+2] 75 category_term 06030196-n | eng: factor_analysis { [1] statistics } [+3] 1 has_pertainym 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+4] 1 related_to 06030196-n | eng: factor_analysis { [1] statistics } [+3] 2 related_to 00736429-v | eng: factor_analyse, factor_analyze { [2] statistics } [+3] 3 related_to 02725181-a | eng: factor_analytic, factor_analytical { [2] statistics } [+4] 1 pertains_to 06030196-n | eng: factor_analysis { [1] statistics } [+2] 76 category_term 06030601-n | eng: analysis_of_variance, ANOVA { [1] statistics } [+2] 77 category_term 06030906-n | eng: correlation_table { [1] statistics } [+2] 78 category_term 06031657-n | eng: curvilinear_correlation, nonlinear_correlation, skew_correlation { [1] statistics } [+2] 79 category_term 06031866-n | eng: partial_correlation { [1] statistics } [+3] 1 has_hyponym 06032066-n | eng: first-order_correlation { [1] statistics } [+2] 80 category_term 06032066-n | eng: first-order_correlation { [1] statistics } [+2] 81 category_term 06032246-n | eng: coefficient_of_correlation, correlation, correlation_coefficient | glg: correlación { [1] statistics } [+3] 1 has_hyponym 06033427-n | eng: Pearson_product-moment_correlation_coefficient, product-moment_correlation_coefficient { [1] statistics } [+3] 2 has_hyponym 06033692-n | eng: multiple_correlation_coefficient { [1] statistics } [+3] 3 has_hyponym 06033889-n | eng: biserial_correlation, biserial_correlation_coefficient { [1] statistics } [+3] 4 has_hyponym 06035674-n | eng: chance-half_correlation, split-half_correlation { [1] statistics } [+3] 5 has_hyponym 06035918-n | eng: tetrachoric_correlation, tetrachoric_correlation_coefficient { [1] statistics } [+3] 6 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+3] 7 related_to 02658979-v | eng: correlate { [2] statistics } [+3] 8 related_to 02704461-a | eng: correlational { [2] statistics } [+4] 1 pertains_to 13841651-n | eng: correlation, correlativity | glg: correlación { [2] relation } [+5] 1 related_to 00713996-v | eng: correlate | glg: correlacionar { [2] statistics } [+5] 2 related_to 01946267-a | eng: correlative { [1] grammar } [+5] 3 related_to 01974298-a | eng: correlate, correlated, correlative | glg: correlativo { [3] relation } [+5] 4 related_to 02658979-v | eng: correlate { [2] statistics } [+5] 5 related_to 02704461-a | eng: correlational { [2] statistics } [+2] 82 category_term 06032752-n | eng: covariation { [1] statistics } [+3] 1 related_to 02662647-v | eng: co-vary { [2] statistics } [+3] 2 related_to 06025287-n | eng: covariance { [1] statistics } [+2] 83 category_term 06032898-n | eng: direct_correlation, positive_correlation { [1] statistics } [+2] 84 category_term 06033172-n | eng: indirect_correlation, negative_correlation { [1] statistics } [+2] 85 category_term 06033427-n | eng: Pearson_product-moment_correlation_coefficient, product-moment_correlation_coefficient { [1] statistics } [+2] 86 category_term 06033692-n | eng: multiple_correlation_coefficient { [1] statistics } [+2] 87 category_term 06033889-n | eng: biserial_correlation, biserial_correlation_coefficient { [1] statistics } [+2] 88 category_term 06034301-n | eng: rank-difference_correlation, rank-difference_correlation_coefficient, rank-order_correlation, rank-order_correlation_coefficient { [1] statistics } [+2] 89 category_term 06034611-n | eng: Kendall_test { [1] statistics } [+3] 1 has_hyponym 06034870-n | eng: Kendall_partial_rank_correlation { [1] statistics } [+3] 2 has_hyponym 06035014-n | eng: coefficient_of_concordance { [1] statistics } [+3] 3 has_hyponym 06035213-n | eng: Kendall's_tau, Kendall_rank_correlation, tau_coefficient_of_correlation { [1] statistics } [+2] 90 category_term 06034870-n | eng: Kendall_partial_rank_correlation { [1] statistics } [+2] 91 category_term 06035014-n | eng: coefficient_of_concordance { [1] statistics } [+2] 92 category_term 06035213-n | eng: Kendall's_tau, Kendall_rank_correlation, tau_coefficient_of_correlation { [1] statistics } [+2] 93 category_term 06035413-n | eng: fourfold_point_correlation, phi_coefficient, phi_correlation { [1] statistics } [+2] 94 category_term 06035674-n | eng: chance-half_correlation, split-half_correlation { [1] statistics } [+2] 95 category_term 06035918-n | eng: tetrachoric_correlation, tetrachoric_correlation_coefficient { [1] statistics } [+2] 96 category_term 06036157-n | eng: spurious_correlation { [1] statistics } [+2] 97 category_term 06036697-n | eng: Bernoulli_distribution, binomial_distribution { [1] statistics } [+2] 98 category_term 06036939-n | eng: binomial_theorem { [1] statistics } [+2] 99 category_term 06037108-n | eng: probability_theory, theory_of_probability { [1] statistics } [+3] 1 has_mero_part 06036939-n | eng: binomial_theorem { [1] statistics } [+2] 100 category_term 06108643-n | eng: information_theory | glg: teoría_da_información { [1] statistics [1] computer_science } [+2] 101 category_term 10652954-n | eng: actuary, statistician | glg: actuario { [1] statistics } [+3] 1 has_hyponym 10680796-n | eng: surveyor { [2] statistics } [+4] 1 related_to 00647929-v | eng: survey { [3] statistics } [+3] 2 has_pertainym 02939542-a | eng: actuarial { [2] statistics } [+4] 1 related_to 10652954-n | eng: actuary, statistician | glg: actuario { [1] statistics } [+3] 3 related_to 02939542-a | eng: actuarial { [2] statistics } [+4] 1 pertains_to 10652954-n | eng: actuary, statistician | glg: actuario { [1] statistics } [+3] 4 related_to 06018465-n | eng: statistics | glg: estatística { [2] math } [+2] 102 category_term 13589321-n | eng: weight, weighting { [1] statistics } [+3] 1 related_to 00680485-v | eng: angle, slant, weight { [2] statistics }

Galnet - WordNet 3.0 do Galego

Extracción terminolóxica