{"id":"W2303539751","doi":"","title":"A Weighted Multivariate Sign Test for Cluster Correlated Data","year":2005,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Mathematics; Sign test; Multivariate statistics; Asymptotic distribution; Statistics; Test statistic; Weighting; Multivariate normal distribution; Sign (mathematics); Statistic; Cluster (spacecraft); Likelihood-ratio test; Statistical hypothesis testing; Applied mathematics; Estimator; Computer science; Wilcoxon signed-rank test; Mann–Whitney U test","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":[0.01586447,0.0009162984,0.001793502,0.003779501,0.0007467101,0.001742902,0.002782283,0.002122499,0.00400372],"category_scores_gemma":[0.1084089,0.0004125878,0.00106857,0.00536147,0.002665514,0.003675359,0.003048867,0.002229823,0.0009857034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006510246,"about_ca_system_score_gemma":0.001819671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006972263,"about_ca_topic_score_gemma":0.0006777646,"domain_scores_codex":[0.9890799,0.007262842,0.0003344233,0.001076981,0.001930862,0.000315072],"domain_scores_gemma":[0.9468577,0.03983148,0.005280877,0.003938165,0.003289991,0.0008018666],"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":[0.0006949651,0.0002270806,0.03492036,0.0004700497,0.0005881957,0.001419539,0.0004284037,0.1896033,0.006650717,0.2541547,0.005433173,0.5054095],"study_design_scores_gemma":[0.00009904746,0.0004723983,0.004383363,0.00006531864,0.00008377917,0.0007901844,0.0001350688,0.8081684,0.003322199,0.1790363,0.003358686,0.00008523488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02120352,0.0001449593,0.9771114,0.0002905377,0.0000467407,0.00006673914,0.00009235676,0.0001879021,0.0008558034],"genre_scores_gemma":[0.4166936,0.0003914638,0.5787307,0.0002947374,0.0002382847,0.0006079708,0.0005833753,0.0002164272,0.0022433],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01586447,"threshold_uncertainty_score":0.08390039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06812822591355493,"score_gpt":0.3477360641777616,"score_spread":0.2796078382642067,"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."}}