{"id":"W2017521979","doi":"10.1016/j.jspi.2009.06.002","title":"Test for homogeneity in normal mixtures with unknown means and variances","year":2009,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Mathematics; Homogeneity (statistics); Statistics; F-test of equality of variances; Levene's test; Econometrics; Statistical hypothesis testing; Test statistic","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":[0.04333857,0.00143929,0.003146681,0.004661274,0.00210825,0.003986164,0.004414384,0.004121889,0.0140729],"category_scores_gemma":[0.2780246,0.001296118,0.004467377,0.002497057,0.006402041,0.006419098,0.004493098,0.004364823,0.001615946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105027,"about_ca_system_score_gemma":0.002692041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889693,"about_ca_topic_score_gemma":0.0007254145,"domain_scores_codex":[0.9512839,0.03245017,0.002398771,0.007076005,0.005214778,0.001576315],"domain_scores_gemma":[0.3520339,0.6172644,0.00548078,0.01622291,0.006501838,0.00249612],"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":[0.0295465,0.002357495,0.2290829,0.001829477,0.01437735,0.003059005,0.005426241,0.1110834,0.01279495,0.2970679,0.01157409,0.2818007],"study_design_scores_gemma":[0.003183906,0.005003035,0.1101572,0.0003841742,0.002148182,0.003021915,0.00321,0.4778471,0.01585293,0.369108,0.009592185,0.0004914947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1988852,0.0006688386,0.7879887,0.00113461,0.0002321033,0.0006117826,0.001544802,0.000860891,0.008073064],"genre_scores_gemma":[0.8617628,0.0002119609,0.1311712,0.0004131373,0.0003075716,0.001096785,0.002960897,0.0003990597,0.001676579],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04333857,"threshold_uncertainty_score":0.229199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071402928215842,"score_gpt":0.3086803134379478,"score_spread":0.2879662841557894,"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."}}