{"id":"W2486583868","doi":"10.1142/9789812796707_0009","title":"EMPIRICAL LIKELIHOOD CONFIDENCE INTERVALS FOR THE DIFFERENCE OF TWO QUANTILES OF A POPULATION","year":2003,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Quantile; Statistics; Confidence interval; Empirical likelihood; Econometrics; Mathematics; Population; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02879024,0.001505339,0.002271708,0.005400775,0.000714193,0.005158695,0.005233357,0.004984045,0.01039954],"category_scores_gemma":[0.2370849,0.001122175,0.001913177,0.003580359,0.004690205,0.006848249,0.003665987,0.005861603,0.001767003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815894,"about_ca_system_score_gemma":0.0009377108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060531,"about_ca_topic_score_gemma":0.001161709,"domain_scores_codex":[0.987385,0.007399552,0.0005723269,0.001716189,0.002548486,0.0003784486],"domain_scores_gemma":[0.7543704,0.2233704,0.005619728,0.009825121,0.005705211,0.001109163],"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":[0.0006953781,0.0001566513,0.00709647,0.0006974426,0.000433651,0.00026082,0.0008879369,0.1245704,0.001290081,0.7120686,0.008273751,0.1435687],"study_design_scores_gemma":[0.0001453467,0.00009552883,0.00499112,0.0005285048,0.0001365278,0.0005355031,0.0002148569,0.3487689,0.001461586,0.6363958,0.006568917,0.0001575255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01291473,0.003788333,0.9767651,0.0006461103,0.0001411599,0.00004597952,0.0003674574,0.0007011459,0.004630035],"genre_scores_gemma":[0.5156613,0.004878496,0.4677483,0.0006462283,0.001013248,0.0008121667,0.00281989,0.0007752912,0.005645026],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02879024,"threshold_uncertainty_score":0.1522591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07338077653162715,"score_gpt":0.3346457856329937,"score_spread":0.2612650091013666,"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."}}