{"id":"W1492735889","doi":"10.1002/9781118162934.ch2","title":"Simple Random Sampling","year":2012,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Simple random sample; Cluster sampling; Sampling (signal processing); Poisson sampling; Statistics; Sampling design; Mathematics; Slice sampling; Estimator; Systematic sampling; Population; Bias of an estimator; Sample (material); Simple (philosophy); Importance sampling; Computer science; Minimum-variance unbiased estimator; Monte Carlo method","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":[0.02473201,0.001615284,0.002405749,0.003086336,0.001548142,0.004878488,0.003703352,0.002229313,0.04188636],"category_scores_gemma":[0.1134046,0.0009808816,0.001398244,0.004273986,0.002582642,0.004778716,0.003597262,0.002933754,0.02023041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114796,"about_ca_system_score_gemma":0.005193109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001992712,"about_ca_topic_score_gemma":0.002821196,"domain_scores_codex":[0.9602404,0.02677088,0.001422649,0.003694808,0.007243298,0.0006279944],"domain_scores_gemma":[0.9536112,0.0277052,0.001951808,0.01043062,0.005624261,0.0006768834],"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":[0.0002712993,0.00019229,0.003190027,0.000915414,0.0001876335,0.0002878082,0.0008323858,0.01747399,0.000978142,0.5681278,0.06961201,0.3379312],"study_design_scores_gemma":[0.0002487345,0.0002598919,0.001270585,0.001183068,0.0001497027,0.0006605325,0.0004933177,0.05593685,0.002149672,0.5680125,0.3695114,0.00012371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002042937,0.0008018894,0.9521262,0.0009579292,0.0004691901,0.002223319,0.00130434,0.001077032,0.03899711],"genre_scores_gemma":[0.08996979,0.003094587,0.8478574,0.002083337,0.001015688,0.01008096,0.004034281,0.001296102,0.04056783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04188636,"threshold_uncertainty_score":0.1401238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731347166906328,"score_gpt":0.2825683947962894,"score_spread":0.2552549231272261,"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."}}