{"id":"W2137288035","doi":"10.1080/07362990008809682","title":"Stein–type shrinkage quantile estimation","year":2000,"lang":"en","type":"article","venue":"Stochastic Analysis and Applications","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Estimator; Quantile; Applied mathematics; Type (biology); Invariant estimator; Quadratic equation; Efficient estimator; Asymptotic distribution; Statistics; James–Stein estimator; Minimum-variance unbiased estimator","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0069029,0.0006610542,0.001025844,0.001094828,0.0002803499,0.001001108,0.001582329,0.0008368344,0.002995196],"category_scores_gemma":[0.02326335,0.0003314258,0.0007762468,0.00131957,0.001132648,0.00162149,0.002019091,0.001164636,0.0008772229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005892871,"about_ca_system_score_gemma":0.001054908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006307209,"about_ca_topic_score_gemma":0.0006604494,"domain_scores_codex":[0.9978206,0.0009951969,0.00008737774,0.000267393,0.0007128119,0.000116532],"domain_scores_gemma":[0.9958723,0.002035534,0.0004524654,0.0005756115,0.0009728154,0.00009132224],"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":[0.0001002514,0.00006569579,0.003401003,0.0002226205,0.0001668987,0.0001700723,0.0001589013,0.2086506,0.00455236,0.499042,0.003615546,0.2798541],"study_design_scores_gemma":[0.0000191612,0.00007433175,0.001234108,0.00002596172,0.00003787009,0.0001590748,0.0000297644,0.8718197,0.002005432,0.1213771,0.00319284,0.00002461722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004564019,0.0001509725,0.993707,0.00007890987,0.00001922653,0.00001828264,0.00001251046,0.00007080346,0.001378244],"genre_scores_gemma":[0.5945225,0.00134888,0.391094,0.0002243546,0.0003114662,0.0002629886,0.0002781961,0.000106064,0.01185153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0069029,"threshold_uncertainty_score":0.03650647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935165099670091,"score_gpt":0.34465340510056,"score_spread":0.3153017541038591,"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."}}