{"id":"W2005441855","doi":"10.1002/cjs.10134","title":"Bounded influence nonlinear signed‐rank regression","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Bounded function; Mathematics; M-estimator; Outlier; Applied mathematics; Rank (graph theory); Statistics; Asymptotic distribution; Least absolute deviations; Robustness (evolution); Extremum estimator; Nonlinear regression; Monte Carlo method; Consistency (knowledge bases); Invariant estimator; Regression analysis; Efficient estimator; Minimum-variance unbiased estimator; Discrete mathematics; Combinatorics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006836951,0.0001601886,0.0003353631,0.0001459909,0.0001684187,0.00004274355,0.0001951381,0.00008577515,0.0001979852],"category_scores_gemma":[0.004955366,0.000129123,0.00005065479,0.000120282,0.000160388,0.0002667907,0.00001191674,0.0003272552,0.00001384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506372,"about_ca_system_score_gemma":0.000629933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002276834,"about_ca_topic_score_gemma":0.0009112596,"domain_scores_codex":[0.9984564,0.0001166522,0.0005641603,0.000089987,0.0002615866,0.0005111967],"domain_scores_gemma":[0.9966726,0.001093005,0.0003724141,0.0001812321,0.000446945,0.00123377],"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":[0.00004097841,0.00007397673,0.001411079,0.0001509835,0.00006733742,0.0003737603,0.001941909,0.00006213993,0.0004341488,0.9357339,0.01847867,0.04123109],"study_design_scores_gemma":[0.0005631224,0.0002013279,0.001157272,0.000240218,0.0001257111,0.0002623069,0.0002425597,0.0006743941,0.0003497032,0.9704658,0.0254006,0.0003169494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01888164,0.0002712761,0.9790663,0.0001083346,0.0004999601,0.00008813769,0.0004396649,0.000006739068,0.0006379765],"genre_scores_gemma":[0.1586063,0.00002094692,0.8407268,0.000169038,0.0002462315,0.000001107263,0.000003782876,0.00002770976,0.0001980976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1397247,"threshold_uncertainty_score":0.5932394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08749789970994488,"score_gpt":0.3866262911681893,"score_spread":0.2991283914582444,"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."}}