{"id":"W2135933669","doi":"10.1111/j.1467-842x.2008.00532.x","title":"VARIANCE ESTIMATION IN TWO‐PHASE SAMPLING","year":2009,"lang":"en","type":"article","venue":"Australian & New Zealand Journal of Statistics","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Carleton University; Statistics Canada","funders":"","keywords":"Mathematics; Statistics; Estimator; Sampling (signal processing); Poisson sampling; Sampling design; Sample size determination; Population; Population variance; Variance (accounting); Sample (material); Slice sampling; Monte Carlo method; Importance sampling","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":[0.03444283,0.001635276,0.002893979,0.003384452,0.001023584,0.002783305,0.003565788,0.002429462,0.004746709],"category_scores_gemma":[0.1519647,0.00147594,0.002929501,0.004055133,0.002127522,0.003214221,0.002940957,0.003629328,0.001208381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523777,"about_ca_system_score_gemma":0.002363099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524964,"about_ca_topic_score_gemma":0.002047326,"domain_scores_codex":[0.9466013,0.04025375,0.001643323,0.004830203,0.005715433,0.0009560145],"domain_scores_gemma":[0.8837503,0.09613197,0.003610319,0.007891467,0.00812203,0.0004939034],"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":[0.000644596,0.0003688491,0.01314681,0.0010917,0.001154257,0.0004840645,0.0008321991,0.2082961,0.002023706,0.4621918,0.008406652,0.3013592],"study_design_scores_gemma":[0.0001613626,0.000257564,0.002159576,0.000112535,0.0001148481,0.0001403703,0.00007642917,0.8053998,0.0009337353,0.1837447,0.006831754,0.00006730919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002355838,0.0001894215,0.9964653,0.00008296498,0.00006300656,0.0001576218,0.00008258977,0.00009766504,0.0005055369],"genre_scores_gemma":[0.1910041,0.000662396,0.800167,0.0003904637,0.0003240245,0.002181022,0.001472497,0.0001985351,0.003599931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03444283,"threshold_uncertainty_score":0.1821533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114905148532901,"score_gpt":0.4261106250308601,"score_spread":0.31462011017757,"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."}}