{"id":"W2035714589","doi":"10.1080/03610920903147812","title":"A Note on Bartlett's<i>M</i>Test for Homogeneity of Variances","year":2010,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Homogeneity (statistics); Mathematics; F-test of equality of variances; Levene's test; Statistics; Chi-square test; Econometrics; Statistical hypothesis testing","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":[0.1305215,0.001504814,0.00324853,0.002918894,0.002641815,0.003817412,0.005119244,0.007462547,0.006936572],"category_scores_gemma":[0.3821376,0.001034885,0.002189631,0.005092652,0.01012803,0.006228732,0.002999431,0.01674573,0.003379868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002227105,"about_ca_system_score_gemma":0.004414812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603685,"about_ca_topic_score_gemma":0.002260782,"domain_scores_codex":[0.8584949,0.1001775,0.008249142,0.00824646,0.02370409,0.001127818],"domain_scores_gemma":[0.4555078,0.4896404,0.0082623,0.02853461,0.01664141,0.001413401],"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":[0.0009868451,0.0002157671,0.005971939,0.001339052,0.0005083691,0.001245642,0.001719533,0.003653544,0.004909091,0.4442623,0.2410333,0.2941546],"study_design_scores_gemma":[0.0003827849,0.001030915,0.01062263,0.001037175,0.0003144954,0.001930835,0.0004254145,0.01913709,0.009370302,0.7537332,0.2014641,0.0005510497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004242309,0.007069611,0.9018915,0.05811969,0.01223911,0.0004519639,0.0008388748,0.001014586,0.01413236],"genre_scores_gemma":[0.09646963,0.004455156,0.8178177,0.05758164,0.01176746,0.002253233,0.0007173695,0.001124067,0.007813712],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1305215,"threshold_uncertainty_score":0.690272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254791471593633,"score_gpt":0.539330779527931,"score_spread":0.4138516323685677,"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."}}