{"id":"W1573897819","doi":"10.1002/9781118162934.ch5","title":"Estimating Proportions, Ratios, and Subpopulation Means","year":2012,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Statistics; Confidence interval; Mathematics; Estimator; Simple random sample; Sample size determination; Population; Sample (material); CDF-based nonparametric confidence interval; Population mean; Sampling (signal processing); Tolerance interval; Econometrics; Computer science; Demography","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":[0.01318369,0.001005273,0.001097877,0.004946317,0.0004847758,0.003895938,0.001901531,0.001339349,0.004245559],"category_scores_gemma":[0.087585,0.0004662054,0.001205133,0.004715358,0.0015186,0.004735827,0.002574662,0.001740712,0.00133766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105597,"about_ca_system_score_gemma":0.001187586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930044,"about_ca_topic_score_gemma":0.001444773,"domain_scores_codex":[0.9876837,0.006789134,0.0006463463,0.001500655,0.003148825,0.0002312822],"domain_scores_gemma":[0.9810877,0.01400975,0.001930112,0.001138659,0.001698647,0.0001351709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008106945,0.00006922193,0.009682389,0.000668037,0.0002564082,0.0001541799,0.0009144126,0.05397906,0.0007303631,0.4586506,0.00658023,0.4682339],"study_design_scores_gemma":[0.00002526859,0.00009935875,0.004703926,0.0003918368,0.0001240109,0.0003604617,0.0005964065,0.1261696,0.001488142,0.8412036,0.02474164,0.00009556478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006890938,0.001999901,0.980723,0.0003512056,0.00008559867,0.000124032,0.0002382149,0.0002392565,0.009347763],"genre_scores_gemma":[0.1467457,0.004732909,0.8422535,0.0002097315,0.0002404166,0.0007435054,0.000710489,0.0002000501,0.004163802],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01318369,"threshold_uncertainty_score":0.06972283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099861096124244,"score_gpt":0.3873108044533088,"score_spread":0.2773246948408845,"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."}}