{"id":"W3122444473","doi":"","title":"Bias - Corrected Maximum Likelihood Estimation of the Parameters of the Generalized Pareto Distribution","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; University of Manitoba; Western University; University of Victoria","funders":"","keywords":"Estimator; Mathematics; Statistics; Pareto principle; Parametric statistics; Distribution (mathematics); Mean squared error; Efficiency; Econometrics","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":[0.001172456,0.0002261328,0.0004694785,0.00009121219,0.0001622026,0.00003602733,0.0008499183,0.0003049315,0.0000899085],"category_scores_gemma":[0.005529507,0.0001631128,0.000268533,0.0003320666,0.0006423024,0.00004011619,0.0007002886,0.0008064274,0.000003479986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004622014,"about_ca_system_score_gemma":0.000470254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001593941,"about_ca_topic_score_gemma":0.0001227954,"domain_scores_codex":[0.9972195,0.0005673197,0.001063598,0.0004121209,0.0003748697,0.0003625701],"domain_scores_gemma":[0.9961575,0.001278413,0.000794237,0.001348895,0.0003318557,0.00008907198],"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":[0.0003297484,0.002089011,0.007657333,0.001877532,0.0004810635,0.000001789938,0.001678035,0.02281529,0.0006964835,0.6559778,0.003543859,0.302852],"study_design_scores_gemma":[0.0009139077,0.00005034914,0.05361893,0.0006699524,0.0001098977,0.000005342946,0.0003158626,0.1699806,0.008201168,0.7653518,0.0003835708,0.0003986289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628561,0.00002617743,0.02191985,0.0007214142,0.0006032886,0.002935677,0.003866098,0.00006008093,0.007011317],"genre_scores_gemma":[0.9926749,0.0001652779,0.006147163,0.00002234928,0.00001750192,0.000342633,0.0004764094,0.0000286259,0.0001251611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3024534,"threshold_uncertainty_score":0.6651545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143769536358935,"score_gpt":0.3640226692002695,"score_spread":0.249645715564376,"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."}}