{"id":"W2963805627","doi":"10.1002/cjs.11135","title":"Goodness‐of‐fit testing based on a weighted bootstrap: A fast large‐sample alternative to the parametric bootstrap","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Goodness of fit; Parametric statistics; Sample size determination; Resampling; Mathematics; Cumulative distribution function; Statistics; Empirical distribution function; Bivariate analysis; Univariate; Monte Carlo method; Econometrics; Multivariate statistics; Probability density function","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001290428,0.0002289573,0.0004609601,0.0004699625,0.0001955987,0.00007559809,0.0004297169,0.00007585867,0.0003842149],"category_scores_gemma":[0.01874951,0.000164443,0.00007879247,0.0008120471,0.0001295637,0.00008062855,0.00001613187,0.0004469154,0.00001301518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575637,"about_ca_system_score_gemma":0.0008374465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554934,"about_ca_topic_score_gemma":0.001909311,"domain_scores_codex":[0.9976856,0.0002622313,0.0007695969,0.0001427663,0.0004641636,0.0006757091],"domain_scores_gemma":[0.9874726,0.009955831,0.000595372,0.000284689,0.0006431807,0.00104834],"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":[0.00007807991,0.0002920968,0.02504554,0.0002027968,0.000162175,0.0002070638,0.0021677,0.0001460951,0.00002738596,0.8661245,0.01271285,0.09283371],"study_design_scores_gemma":[0.002019152,0.002370798,0.05991527,0.001172047,0.0005654524,0.0001857147,0.001640345,0.03937994,0.0007408407,0.8802337,0.01079374,0.0009830117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005497826,0.00005531351,0.9890188,0.0002563154,0.0005152289,0.0002296974,0.003609772,0.000006256043,0.0008108126],"genre_scores_gemma":[0.4602287,0.00000149299,0.5393409,0.0002183322,0.0001709964,0.000003996708,0.000003268428,0.00002107377,0.0000112135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4547309,"threshold_uncertainty_score":0.989516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1758889153630953,"score_gpt":0.3725724726201711,"score_spread":0.1966835572570758,"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."}}