{"id":"W2732028845","doi":"","title":"MODIFIED LIKELIHOOD RATIO TEST FOR HOMOGENEITY IN A TWO-SAMPLE PROBLEM","year":2009,"lang":"en","type":"article","venue":"Statistica Sinica","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; York University","funders":"","keywords":"Homogeneity (statistics); Likelihood-ratio test; Statistics; Statistic; Mathematics; Null hypothesis; Limiting; Test statistic; Null distribution; Applied mathematics; Statistical hypothesis testing; Asymptotic distribution; Score test; Computer science; Estimator","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":[0.06511718,0.001282888,0.004630876,0.003780961,0.0009137936,0.002687091,0.004584545,0.005331249,0.004961303],"category_scores_gemma":[0.2672355,0.0008517819,0.002301396,0.002605218,0.005443634,0.004363731,0.00301423,0.003263273,0.0008015293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009812139,"about_ca_system_score_gemma":0.001656145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007353227,"about_ca_topic_score_gemma":0.0002931386,"domain_scores_codex":[0.9203385,0.0641666,0.002292289,0.006800415,0.005410166,0.0009920212],"domain_scores_gemma":[0.6774513,0.2998219,0.008377993,0.01007746,0.003122027,0.001149301],"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":[0.004490457,0.0009761602,0.06102719,0.002031912,0.00519126,0.007176178,0.002189054,0.1557583,0.01184567,0.4056769,0.005320054,0.3383169],"study_design_scores_gemma":[0.0008637337,0.002434033,0.01401438,0.0001848284,0.0004725041,0.003176344,0.0003741224,0.5912082,0.005068598,0.3771739,0.004767119,0.0002622189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04388535,0.0004939202,0.9525218,0.0009258082,0.00008649812,0.0003720566,0.0002165279,0.0002983822,0.001199563],"genre_scores_gemma":[0.5783154,0.0003302369,0.4165197,0.0007321921,0.0004583735,0.001618331,0.0006126189,0.0001226734,0.001290577],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06511718,"threshold_uncertainty_score":0.3443767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727512647999491,"score_gpt":0.3327146872907085,"score_spread":0.3054395608107136,"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."}}