{"id":"W1973873060","doi":"10.1007/s40840-014-0045-5","title":"Bayesian Estimation Based on Ranked Set Sampling Using Asymmetric Loss Function","year":2014,"lang":"en","type":"article","venue":"Bulletin of the Malaysian Mathematical Sciences Society","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"King Saud University","keywords":"Mathematics; Statistics; Conjugate prior; Monte Carlo method; Bayesian probability; Mean squared error; Bayes estimator; Importance sampling; Applied mathematics; Sampling (signal processing); Exponential function; Simple random sample; Prior probability; Computer science; Population; 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":[0.0101322,0.001266539,0.004587655,0.002358401,0.001479631,0.002691175,0.004198833,0.002090618,0.003925597],"category_scores_gemma":[0.026714,0.001395718,0.002181993,0.002282874,0.00168873,0.003925135,0.003084534,0.002885484,0.00109288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597485,"about_ca_system_score_gemma":0.003516312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006055096,"about_ca_topic_score_gemma":0.007185667,"domain_scores_codex":[0.9926322,0.004171303,0.0003330712,0.0009001532,0.001487974,0.0004751499],"domain_scores_gemma":[0.9796135,0.01558081,0.0008349583,0.001464234,0.002093053,0.0004133909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009119404,0.0005766285,0.005640162,0.0004015465,0.0005186826,0.0002474073,0.0002658687,0.6760496,0.003116327,0.09188493,0.004971835,0.215415],"study_design_scores_gemma":[0.00003055641,0.00004689847,0.0003419488,0.00001500555,0.00003041734,0.00003626805,0.00001253865,0.9847424,0.000482013,0.0140018,0.0002413098,0.00001879146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01601357,0.0002081259,0.9826186,0.0001813477,0.00003182046,0.00008065873,0.00007752444,0.000175431,0.0006128952],"genre_scores_gemma":[0.503809,0.0007734783,0.4857917,0.0004269909,0.0003538796,0.0006661151,0.00157032,0.0001705796,0.006437903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0101322,"threshold_uncertainty_score":0.05358481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08042259993734134,"score_gpt":0.3479976696822228,"score_spread":0.2675750697448815,"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."}}