{"id":"W2008200618","doi":"10.1081/sta-120017804","title":"Variance of a Winsorized Mean When the Sample Contains Multiple Outliers","year":2003,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Outlier; Truncated mean; Variance (accounting); Scale (ratio); Sample (material); Mathematics; Statistics; Econometrics; Accounting; Economics; Geography; Cartography","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":[0.007332587,0.0003012935,0.0008077702,0.0009492713,0.0003110924,0.001937262,0.001539085,0.0005443461,0.003002567],"category_scores_gemma":[0.03473299,0.0002897951,0.0004103244,0.001041667,0.001567266,0.00289635,0.001177476,0.001225124,0.0003014208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009590599,"about_ca_system_score_gemma":0.0008342786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006595351,"about_ca_topic_score_gemma":0.0006232377,"domain_scores_codex":[0.99647,0.00103902,0.0002117928,0.0006350175,0.00134785,0.0002963342],"domain_scores_gemma":[0.9715605,0.02119887,0.002194144,0.002307205,0.002485742,0.0002534889],"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":[0.0008544174,0.00007520501,0.01622969,0.0003461969,0.0003020394,0.0014059,0.0005611521,0.3302304,0.01716919,0.4775761,0.003315808,0.1519338],"study_design_scores_gemma":[0.00003326309,0.0001012557,0.006940294,0.00004381442,0.00003400391,0.0004638535,0.0001375474,0.8432221,0.00575524,0.1413909,0.001795717,0.00008200989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09003252,0.0004135616,0.9072417,0.0002375995,0.00007469928,0.00003316791,0.00009028413,0.0002264338,0.001650041],"genre_scores_gemma":[0.8669058,0.0003461012,0.1296971,0.0001470185,0.0001328777,0.00008209929,0.0002497123,0.0001692303,0.002269936],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007332587,"threshold_uncertainty_score":0.0387789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356415342255775,"score_gpt":0.4775751407529469,"score_spread":0.3419336065273695,"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."}}