{"id":"W2164798779","doi":"10.1080/15598608.2009.10411945","title":"Exact Conditional Tests and Approximate Bootstrap Tests for the von Mises Distribution","year":2009,"lang":"en","type":"article","venue":"Journal of Statistical Theory and Practice","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Directorate for Biological Sciences; Simon Fraser University; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Mathematics; Statistics; Sampling distribution; Exact test; Test statistic; Exact statistics; Conditional probability distribution; F-test of equality of variances; Applied mathematics; Statistical hypothesis testing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003778976,0.00009104777,0.0001473078,0.00002071917,0.0002037115,0.0001956964,0.0001479677,0.00004267389,0.00000873815],"category_scores_gemma":[0.005201164,0.00005528159,0.00003077575,0.00006065907,0.0001182027,0.0007211788,0.00002095772,0.0002095244,5.434251e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001002615,"about_ca_system_score_gemma":0.00004743768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.094815e-7,"about_ca_topic_score_gemma":6.337362e-8,"domain_scores_codex":[0.9988077,0.0005173811,0.0002417716,0.0001263462,0.0001691464,0.000137695],"domain_scores_gemma":[0.9802004,0.01917242,0.0002440643,0.00009742493,0.0001729071,0.0001128355],"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":[0.0003464411,0.00005883872,0.000003119985,0.00001058323,0.00002313645,0.00002203712,0.00007688924,0.000003566882,0.0002136646,0.8700904,0.001131365,0.12802],"study_design_scores_gemma":[0.0004238516,0.0005274847,0.004979051,0.00002277669,0.00009677895,0.001524259,0.00004084033,0.003746484,0.00009368243,0.9802361,0.008225189,0.00008346166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002398112,0.0009553455,0.9930271,0.005092157,0.0000865946,0.0001078073,0.00007480228,0.000006794045,0.0004095948],"genre_scores_gemma":[0.48385,0.0003326863,0.5143529,0.001257778,0.0001561429,0.000002468177,0.000005326343,0.000003495219,0.00003915511],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4836102,"threshold_uncertainty_score":0.6226655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04109465688945094,"score_gpt":0.3741524462421269,"score_spread":0.3330577893526759,"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."}}