{"id":"W2766692757","doi":"10.1080/15598608.2017.1393779","title":"A practical method of robust estimation in case of asymmetry","year":2017,"lang":"en","type":"article","venue":"Journal of Statistical Theory and Practice","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada); Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Outlier; Mathematics; Robustness (evolution); Robust regression; Mean squared error; Iterated function; Least absolute deviations; Statistics; Robust statistics; Function (biology); Asymmetry; Applied mathematics; Regression; Mathematical optimization","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":[0.009080934,0.001658468,0.002327737,0.002325093,0.001121006,0.002201791,0.003326245,0.003129753,0.006023773],"category_scores_gemma":[0.04514271,0.00121742,0.002324554,0.002043744,0.002051496,0.003159349,0.004479473,0.003612086,0.002705698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611455,"about_ca_system_score_gemma":0.001815845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130412,"about_ca_topic_score_gemma":0.0009916972,"domain_scores_codex":[0.9926556,0.004106971,0.0003885225,0.001098123,0.001510543,0.0002402289],"domain_scores_gemma":[0.985256,0.008630731,0.000739855,0.003365926,0.001805546,0.0002020139],"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":[0.0004553433,0.0001194719,0.001216548,0.0005241044,0.0005870466,0.0005869836,0.0003691085,0.1040839,0.02216271,0.449903,0.008881909,0.4111098],"study_design_scores_gemma":[0.00006984084,0.0001325618,0.0006041112,0.00009183566,0.0001777885,0.001115142,0.00004400835,0.7553052,0.009648216,0.2170822,0.01558951,0.0001395493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000288323,0.00006977037,0.9992002,0.00004710021,0.00002486311,0.00001224021,0.00001823493,0.00009647336,0.0002427846],"genre_scores_gemma":[0.0323162,0.000255544,0.9648202,0.0001230459,0.0002296842,0.000162884,0.0001682292,0.0002362176,0.001687945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009080934,"threshold_uncertainty_score":0.04802513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2074899822517741,"score_gpt":0.5607468103901014,"score_spread":0.3532568281383273,"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."}}