{"id":"W4232614615","doi":"10.2139/ssrn.3195043","title":"A Note on Univariate and Multivariate Mixed Exponential Distributions","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Univariate; Multivariate statistics; Natural exponential family; Statistics; Mathematics; Exponential function; Exponential family; Econometrics; Multivariate analysis; Mixed model; Applied mathematics; Mathematical analysis","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":[0.0072159,0.001171528,0.0015891,0.001827644,0.001380599,0.003149263,0.002459326,0.003291388,0.008575775],"category_scores_gemma":[0.04763079,0.0008181757,0.002070719,0.003357183,0.00443613,0.01037604,0.004225297,0.009667939,0.002167329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528401,"about_ca_system_score_gemma":0.001175407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002442532,"about_ca_topic_score_gemma":0.002346558,"domain_scores_codex":[0.9965984,0.001504557,0.0002488635,0.0006600418,0.000854651,0.0001334737],"domain_scores_gemma":[0.9665897,0.02610005,0.0009384742,0.003165575,0.002493828,0.0007122601],"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":[0.00005609511,0.0000195517,0.0005274256,0.0001241689,0.00002801845,0.0003244724,0.0001620196,0.002003138,0.0005144835,0.9483514,0.0154559,0.03243329],"study_design_scores_gemma":[0.00001022103,0.00002127944,0.0006099304,0.00007260762,0.00002974819,0.0004814308,0.00003685553,0.01374012,0.0002427506,0.9445216,0.04019921,0.00003415327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008718506,0.02528187,0.8815371,0.02137323,0.007896389,0.0000436845,0.0005889787,0.0002633156,0.05429694],"genre_scores_gemma":[0.329528,0.04196361,0.4736357,0.01399365,0.05595363,0.0004441028,0.0009327407,0.001101806,0.08244672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008575775,"threshold_uncertainty_score":0.03816181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070112773846222,"score_gpt":0.3450852153823691,"score_spread":0.3143840876439069,"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."}}