{"id":"W2032169485","doi":"10.1002/cjs.5550330406","title":"A fully nonparametric diagnostic test for homogeneity of variances","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Nonparametric statistics; Homogeneity (statistics); Parametric statistics; Mathematics; Statistics; Variance (accounting); Levene's test; Nonparametric regression; F-test of equality of variances; Analysis of variance; Econometrics; Statistical hypothesis testing; Conditional variance; Variance function; Regression analysis; Applied mathematics; Test statistic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006954361,0.0001308082,0.0004171123,0.0002571424,0.00008353592,0.00003569241,0.0002573343,0.0000684621,0.0002742007],"category_scores_gemma":[0.0869537,0.0001162289,0.00007143419,0.0002718198,0.0001641893,0.0000600809,0.00000746421,0.0001630551,0.000004569385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001034963,"about_ca_system_score_gemma":0.001141458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004126413,"about_ca_topic_score_gemma":0.004876513,"domain_scores_codex":[0.9985881,0.00005724407,0.0007461791,0.0001028386,0.0001972431,0.0003083463],"domain_scores_gemma":[0.9758515,0.02215338,0.0005193313,0.0001532317,0.0008192448,0.0005032489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002570255,0.0001683937,0.00962207,0.0003765498,0.0001096114,0.0001058269,0.0004089783,0.00007854809,0.00009742951,0.736434,0.04197828,0.2105946],"study_design_scores_gemma":[0.001180316,0.00148481,0.02007797,0.000295871,0.0004029349,0.0001611307,0.0001411882,0.003553742,0.0009327144,0.954604,0.01678484,0.0003804369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008621383,0.000372592,0.9867159,0.0002193565,0.0002799004,0.0001803005,0.003120524,0.000003167937,0.0004868777],"genre_scores_gemma":[0.303222,0.00003579975,0.6964309,0.00006594782,0.0001720087,0.000003704044,0.000002359757,0.00001435943,0.00005296658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2946006,"threshold_uncertainty_score":0.9207373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07969256097473203,"score_gpt":0.3319838011740538,"score_spread":0.2522912401993218,"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."}}