{"id":"W4252172446","doi":"10.1002/9781119501459.ch7","title":"Confidence Region Estimation","year":2018,"lang":"en","type":"other","venue":"","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Estimator; Statistics; Confidence interval; Mathematics; Mean squared error; Point estimation; Interval estimation; Population; Ratio estimator; CDF-based nonparametric confidence interval; Bootstrapping (finance); Standard deviation; Confidence distribution; Bias of an estimator; Econometrics; Minimum-variance unbiased estimator","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008500233,0.0001303641,0.0002090675,0.00004993237,0.00001705361,0.000009649176,0.00008364111,0.0001553149,0.004028666],"category_scores_gemma":[0.0006660562,0.0001017352,0.00002783927,0.00003386123,0.00007049126,0.0000181805,0.0000223122,0.0000569487,0.0003182771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322261,"about_ca_system_score_gemma":0.00001398242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001840358,"about_ca_topic_score_gemma":0.00001791209,"domain_scores_codex":[0.9994001,0.00003674849,0.0001347941,0.0001963751,0.0001177419,0.0001141832],"domain_scores_gemma":[0.9992422,0.0002785544,0.0001267371,0.0002790123,0.0000279431,0.00004553323],"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":[9.394191e-7,0.000005051623,4.466098e-8,0.00004467616,0.000004284822,0.000002027065,0.000004501455,9.649416e-8,6.325132e-7,0.5136087,0.4779598,0.008369314],"study_design_scores_gemma":[0.00005433025,0.00002023011,9.752699e-8,0.0001671035,0.0000187912,0.000004400426,0.000005858465,0.00185153,0.00001881402,0.8205504,0.1771933,0.0001151352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[3.105984e-8,0.00001139102,0.5177903,0.00001702341,0.00008300197,0.00009730548,0.000002755641,0.0001404881,0.4818577],"genre_scores_gemma":[0.000003509347,0.00001177491,0.5038952,0.00003014967,0.0000849659,0.000006698403,0.000002164362,0.0001105568,0.4958549],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3069417,"threshold_uncertainty_score":0.9968818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1884157015691429,"score_gpt":0.4723793418528745,"score_spread":0.2839636402837317,"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."}}