{"id":"W2059748913","doi":"10.1080/10629360600609901","title":"Estimation effects on powers of two simple test statistics in identifying an outlier in linear models","year":2006,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Outlier; Studentized residual; Statistics; Residual; Studentized range; Linear regression; Statistical hypothesis testing; Variance (accounting); Algorithm; Standard error","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1820337,0.002338432,0.003477292,0.003596985,0.000823341,0.003478814,0.003139147,0.004942706,0.002627299],"category_scores_gemma":[0.6822748,0.001035466,0.002948343,0.002723973,0.009622467,0.01017804,0.005740149,0.004809097,0.0007932105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048613,"about_ca_system_score_gemma":0.001216776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005902791,"about_ca_topic_score_gemma":0.0003315807,"domain_scores_codex":[0.7806164,0.193056,0.005625529,0.006867642,0.01269397,0.001140435],"domain_scores_gemma":[0.07579587,0.8942106,0.0108187,0.01543109,0.003173187,0.000570673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007318527,0.0006903427,0.1022724,0.002330036,0.003214998,0.00255847,0.002657853,0.1971123,0.01030571,0.188161,0.003108983,0.4802694],"study_design_scores_gemma":[0.0008332939,0.004367224,0.0347583,0.0008665905,0.001291403,0.002248169,0.0006168287,0.7606039,0.02529268,0.1634353,0.005119349,0.000566897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1047149,0.002283884,0.8865564,0.00120379,0.0002899726,0.0002333943,0.0001055822,0.0007258078,0.003886312],"genre_scores_gemma":[0.7373153,0.0008470513,0.2592216,0.0004949493,0.0004049078,0.000381344,0.0001546941,0.0004485487,0.0007316545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1820337,"threshold_uncertainty_score":0.9626979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08280954336764566,"score_gpt":0.4624450413400735,"score_spread":0.3796354979724278,"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."}}