{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02115373,0.001112985,0.002902962,0.005284341,0.001591006,0.003103604,0.002862399,0.002358892,0.009412011],"category_scores_gemma":[0.1201653,0.001043069,0.002437354,0.00449071,0.005302996,0.006444084,0.003044726,0.004506347,0.00128595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670205,"about_ca_system_score_gemma":0.002088774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003676908,"about_ca_topic_score_gemma":0.002327078,"domain_scores_codex":[0.9930582,0.004670986,0.0002632613,0.000801986,0.0009383627,0.0002670982],"domain_scores_gemma":[0.9120082,0.07521722,0.002970139,0.005083957,0.004058146,0.0006623269],"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":[0.00007627574,0.00008060451,0.002811948,0.00009506984,0.0001361457,0.000115233,0.0002373526,0.02734744,0.0001882675,0.924057,0.003003914,0.04185069],"study_design_scores_gemma":[0.00002676112,0.000025983,0.001076678,0.00005501027,0.0000666726,0.00009096262,0.00006224029,0.2111173,0.0002595249,0.7850381,0.002149403,0.0000312778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01529881,0.0009938782,0.9798868,0.0007558665,0.0001060362,0.00003807912,0.0001310408,0.0001233985,0.002666064],"genre_scores_gemma":[0.5433552,0.00558279,0.4283154,0.0006630293,0.00152711,0.0006563805,0.001256536,0.0002956243,0.01834801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02115373,"threshold_uncertainty_score":0.111873,"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."}}