{"id":"W4249156837","doi":"10.1002/9781119214656.ch2","title":"Location and Scale","year":2018,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Statistics Canada","funders":"","keywords":"Estimator; Confidence interval; Mathematics; Robustness (evolution); Applied mathematics; Statistic; Location parameter; Statistics; Newton's method; Confidence region; Least absolute deviations; M-estimator; Coverage probability; Normal distribution; Scale (ratio); Nonlinear system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003746919,0.0002383487,0.0004372947,0.00006426129,0.00005338848,0.00003006968,0.00007215099,0.0002335202,0.0002757857],"category_scores_gemma":[0.001560526,0.0002203056,0.00001053795,0.00008572014,0.0008005745,0.00005404671,0.00009373454,0.0001597393,0.000005361213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003097886,"about_ca_system_score_gemma":0.00004199368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004974388,"about_ca_topic_score_gemma":0.001651463,"domain_scores_codex":[0.9987465,0.0001431915,0.0003330708,0.0004249549,0.0001375008,0.0002147833],"domain_scores_gemma":[0.9988662,0.000530623,0.0001390018,0.0003030908,0.00007160878,0.00008950003],"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":[0.00004342153,0.0000763705,0.0002316149,0.002821704,0.00001511914,0.000005026172,0.0003385855,4.808855e-7,0.000001507553,0.9060782,0.05144292,0.03894503],"study_design_scores_gemma":[0.0001849552,0.0001355654,0.00009289136,0.0005935119,0.00003163615,0.000007390572,0.0000462023,0.0004313466,0.000003252663,0.9591398,0.03909589,0.0002375053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004017384,0.000509618,0.967386,0.00004233884,0.0001584675,0.0005457778,0.0005970685,0.00007369587,0.03064686],"genre_scores_gemma":[0.00006263723,0.001085647,0.934581,0.0000243113,0.00007895884,0.00004531937,0.00002740237,0.0001224196,0.06397227],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05306162,"threshold_uncertainty_score":0.8983803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05491063455273117,"score_gpt":0.3634635667546845,"score_spread":0.3085529322019533,"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."}}