{"id":"W4362621355","doi":"10.1080/00949655.2023.2195657","title":"Robust hypothesis testing in functional linear models","year":2023,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Type I and type II errors; Mathematics; Covariate; Statistical hypothesis testing; Linear model; Functional data analysis; Generalized linear model; Scalar (mathematics); Linear regression; Variance (accounting); Statistics; Econometrics; Sequential analysis; Robustness (evolution); Statistical power; Computer science","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":[0.04213905,0.001730947,0.002485052,0.002793269,0.0007150123,0.002385431,0.004026914,0.002433265,0.004402687],"category_scores_gemma":[0.205988,0.0006602329,0.003002077,0.002341445,0.004956868,0.004255682,0.003375239,0.002900052,0.0008217413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016315,"about_ca_system_score_gemma":0.002082718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505044,"about_ca_topic_score_gemma":0.0006804415,"domain_scores_codex":[0.9580722,0.0324832,0.001348063,0.00351439,0.00394996,0.0006322178],"domain_scores_gemma":[0.7902294,0.184928,0.007874668,0.01144693,0.004728783,0.0007922195],"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":[0.0006054614,0.0002014642,0.007212861,0.0009801596,0.001037196,0.0007312137,0.000511013,0.3688273,0.002759069,0.4201966,0.003004261,0.1939334],"study_design_scores_gemma":[0.00009810117,0.0002786534,0.0009699871,0.0000740955,0.00007700099,0.0001912149,0.00005768682,0.7211177,0.00160524,0.2743053,0.001163187,0.00006177116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004105719,0.000138526,0.9949792,0.0001344383,0.00002965843,0.00004634873,0.00006419315,0.0001953747,0.0003065877],"genre_scores_gemma":[0.3483866,0.0004705389,0.6478055,0.000349403,0.0002505269,0.00095879,0.0005388916,0.0003345142,0.0009051992],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04213905,"threshold_uncertainty_score":0.2228553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4201984437062276,"score_gpt":0.4089752939161696,"score_spread":0.01122314979005801,"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."}}