{"id":"W2148973996","doi":"","title":"A New Nonparametric Levene Test for Equal Variances","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Nonparametric statistics; Levene's test; Statistics; F-test of equality of variances; Mathematics; Type I and type II errors; Population; Sampling (signal processing); Goldfeld–Quandt test; Econometrics; Test (biology); Statistical hypothesis testing; Computer science; Z-test; Test statistic; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02661472,0.001272091,0.00223113,0.004545965,0.001578605,0.004356641,0.003698171,0.002348703,0.02138771],"category_scores_gemma":[0.1389403,0.0005050653,0.002502594,0.003764659,0.002813971,0.004160934,0.003765514,0.004684167,0.004326156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051325,"about_ca_system_score_gemma":0.005221795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878215,"about_ca_topic_score_gemma":0.001597513,"domain_scores_codex":[0.9607152,0.01844172,0.002426086,0.004214814,0.01335651,0.0008456325],"domain_scores_gemma":[0.9126078,0.06424124,0.007186681,0.006512019,0.008485487,0.0009667324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00143334,0.0004956775,0.04121588,0.002397212,0.001821797,0.001065374,0.001610523,0.01333336,0.005734629,0.1633571,0.1044744,0.6630607],"study_design_scores_gemma":[0.0009725962,0.003988717,0.07996015,0.002879279,0.001636031,0.007451065,0.002146435,0.115494,0.01618445,0.2954155,0.4727774,0.001094292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01914954,0.003166741,0.9328703,0.002139163,0.001502813,0.001437101,0.005078347,0.002184534,0.03247134],"genre_scores_gemma":[0.2897415,0.002834518,0.6636286,0.003864327,0.00177786,0.009051697,0.007889987,0.001485827,0.0197257],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02661472,"threshold_uncertainty_score":0.1407538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8284200588886782,"score_gpt":0.7350414308632734,"score_spread":0.09337862802540475,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}