{"id":"W2084940370","doi":"10.1016/j.jmva.2009.05.005","title":"Bivariate Birnbaum–Saunders distribution and associated inference","year":2009,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Bivariate analysis; Estimator; Univariate; Statistics; Restricted maximum likelihood; Moment (physics); Applied mathematics; Monte Carlo method; Inference; M-estimator; Asymptotic distribution; Maximum likelihood; Multivariate statistics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293792,0.0001303734,0.0004203341,0.0001910526,0.000136345,0.00007698472,0.0001255437,0.00008776056,0.0001175898],"category_scores_gemma":[0.003528501,0.0001072335,0.000200953,0.001081844,0.00004842607,0.0001704369,0.00001594071,0.0001902037,0.000005382372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104871,"about_ca_system_score_gemma":0.00004537136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002145003,"about_ca_topic_score_gemma":0.000007893131,"domain_scores_codex":[0.9985521,0.0001271209,0.0006984317,0.0001376899,0.000317679,0.0001669441],"domain_scores_gemma":[0.9977614,0.0007029266,0.0007236013,0.0001475966,0.0005047178,0.0001597427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006069159,0.0008184937,0.002435424,0.00001301273,0.001893078,0.00001250087,0.0002995448,0.0007331693,0.001586344,0.9830541,0.001523552,0.007570067],"study_design_scores_gemma":[0.001353817,0.0001503283,0.5505292,0.00004335095,0.003520095,0.000009212597,0.0001176133,0.09738634,0.0002018812,0.3461072,0.0003169425,0.0002639549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07405407,0.00001864626,0.9239389,0.001547738,0.00002510813,0.0000680357,0.0001309765,0.000027981,0.0001884942],"genre_scores_gemma":[0.991139,0.0000300937,0.008559182,0.00009421535,0.00002555184,0.000001454047,0.00008852794,0.000004458758,0.00005751916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9170849,"threshold_uncertainty_score":0.4372857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05521902823671618,"score_gpt":0.3841364110361241,"score_spread":0.328917382799408,"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."}}