{"id":"W2103818588","doi":"10.1111/j.1467-9574.2011.00491.x","title":"Estimation strategies for the regression coefficient parameter matrix in multivariate multiple regression","year":2011,"lang":"en","type":"article","venue":"Statistica Neerlandica","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Mathematics; Subspace topology; Context (archaeology); Linear regression; Multivariate statistics; Statistics; Monte Carlo method; Regression analysis; Applied mathematics; 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":[0.01326419,0.001147592,0.001473649,0.001439271,0.0003512214,0.001017214,0.002453204,0.001370545,0.001897397],"category_scores_gemma":[0.04009044,0.0007077108,0.00101217,0.001951608,0.001055084,0.002667441,0.001655515,0.001875788,0.0006822422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005472922,"about_ca_system_score_gemma":0.0009090148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484564,"about_ca_topic_score_gemma":0.001691276,"domain_scores_codex":[0.994135,0.004304339,0.0002087753,0.0005795887,0.0006581479,0.0001140637],"domain_scores_gemma":[0.9841001,0.01278536,0.001050714,0.0008260594,0.001117363,0.0001203803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001199757,0.00009360232,0.002408402,0.0005048263,0.0002373824,0.0001943929,0.0002860401,0.5713573,0.005509906,0.1891147,0.001480624,0.2286929],"study_design_scores_gemma":[0.00002280482,0.00007001687,0.0004897376,0.00005063926,0.00004162665,0.00005645739,0.00001775311,0.9553613,0.001303669,0.04133258,0.001223229,0.00003025554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001938252,0.0001848944,0.9976637,0.00005409284,0.000004865097,0.00001506474,0.00001103853,0.00003033885,0.0000977192],"genre_scores_gemma":[0.1117724,0.001452446,0.8845704,0.0001309241,0.0001101556,0.000336062,0.0001799711,0.000121013,0.001326516],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01326419,"threshold_uncertainty_score":0.07014853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553250689683882,"score_gpt":0.4404772202687059,"score_spread":0.2851521513003178,"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."}}