{"id":"W2108958395","doi":"10.2307/3316096","title":"Nonparametric estimation of the bivariate cdf for arbitrarily censored data","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bivariate data; Bivariate analysis; Mathematics; Nonparametric statistics; Intersection (aeronautics); Statistics; Graph; Joint probability distribution; Censoring (clinical trials); Multivariate statistics; Cumulative distribution function; Maximum likelihood; Uniqueness; Econometrics; Combinatorics; Probability density function; Geography; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007925758,0.0004019342,0.001002744,0.002784053,0.0003443627,0.001649977,0.001132111,0.0006799385,0.001888736],"category_scores_gemma":[0.06404128,0.0002850803,0.0005644301,0.003292438,0.001689367,0.002319818,0.00183882,0.001418652,0.0002582117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009963333,"about_ca_system_score_gemma":0.001060781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323178,"about_ca_topic_score_gemma":0.001684716,"domain_scores_codex":[0.9969559,0.001913828,0.0001125213,0.000309729,0.0005531678,0.0001549327],"domain_scores_gemma":[0.9624843,0.03036834,0.002811431,0.002619193,0.001406367,0.0003104472],"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":[0.000229761,0.00007905054,0.01723737,0.0001702847,0.000142494,0.0002252994,0.0003624007,0.252269,0.001914819,0.5909545,0.002313992,0.134101],"study_design_scores_gemma":[0.00001542803,0.00003656584,0.005567865,0.00005697546,0.00002608761,0.0001181075,0.0001027582,0.6847523,0.0008838341,0.3059849,0.002418923,0.00003625493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02783578,0.0003313074,0.9699339,0.0002855547,0.00001260721,0.00001575778,0.0001624394,0.0001782156,0.00124445],"genre_scores_gemma":[0.8039779,0.0007022122,0.193349,0.00007862394,0.00005280062,0.0001001668,0.0006373263,0.00007323498,0.001028845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007925758,"threshold_uncertainty_score":0.04191595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2357865994110496,"score_gpt":0.3460697148628226,"score_spread":0.1102831154517729,"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."}}