{"id":"W2591271592","doi":"10.5539/ijsp.v6n2p74","title":"Dagum Distribution: Properties and Different Methods of Estimation","year":2017,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Mathematics; Frequentist inference; Quantile; M-estimator; Statistics; Moment (physics); Percentile; Point estimation; Applied mathematics; Bayesian probability; Bayesian inference","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01436479,0.0008618831,0.001372077,0.003837717,0.0007598653,0.002659792,0.002527714,0.00166248,0.002538251],"category_scores_gemma":[0.07698753,0.0006133635,0.001516255,0.003446302,0.002392446,0.004047954,0.002462761,0.002698913,0.0007295937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421086,"about_ca_system_score_gemma":0.001186353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060696,"about_ca_topic_score_gemma":0.001173235,"domain_scores_codex":[0.9940358,0.003662262,0.0002997488,0.0007957474,0.0009953273,0.000210889],"domain_scores_gemma":[0.9607183,0.03209271,0.002024622,0.00301697,0.001857919,0.0002894965],"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":[0.0001294142,0.0000651787,0.01054069,0.0006304532,0.000228731,0.000231542,0.0004833493,0.1759524,0.001380187,0.5924292,0.002890538,0.2150383],"study_design_scores_gemma":[0.00002765357,0.00006403873,0.003979973,0.0002161256,0.00006480985,0.0005067275,0.000171505,0.640831,0.001691772,0.3424447,0.009897415,0.0001042893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004964655,0.001037216,0.9925066,0.0002942222,0.00004469679,0.00003897516,0.0001026205,0.000111078,0.0009000109],"genre_scores_gemma":[0.3436692,0.005789618,0.6443308,0.0004416859,0.000542586,0.0006831374,0.0009289637,0.0002666164,0.00334742],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01436479,"threshold_uncertainty_score":0.0759691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1353734296711756,"score_gpt":0.4297379360622648,"score_spread":0.2943645063910892,"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."}}