{"id":"W2059186684","doi":"10.1016/j.spl.2007.11.023","title":"Nonparametric confidence intervals for quantile intervals and quantile differences based on record statistics","year":2008,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Quantile; CDF-based nonparametric confidence interval; Confidence interval; Statistics; Mathematics; Nonparametric statistics; Robust confidence intervals; Confidence distribution; Coverage probability; Quantile function; Confidence and prediction bands; Econometrics; Cumulative distribution function; Probability density function","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003034897,0.0004959923,0.0009491009,0.0004665246,0.0003904222,0.0003054654,0.0009396065,0.0001469361,0.0002385514],"category_scores_gemma":[0.02427989,0.0003938152,0.000148027,0.0007050274,0.001035237,0.0002055114,0.0001373134,0.0003629788,0.00008334806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374509,"about_ca_system_score_gemma":0.0001960604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009849377,"about_ca_topic_score_gemma":0.00004068681,"domain_scores_codex":[0.9946569,0.0004905717,0.001528926,0.001291337,0.001335324,0.0006970008],"domain_scores_gemma":[0.979316,0.01815323,0.0004997455,0.001062205,0.0006619847,0.0003068635],"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":[0.001889674,0.001641677,0.1459244,0.001334423,0.0002425561,0.0002194266,0.002689076,0.006577787,0.001625779,0.435926,0.3389845,0.06294467],"study_design_scores_gemma":[0.001674651,0.001862191,0.0858179,0.0002313336,0.0001097479,0.00002843701,0.00004638582,0.3592903,0.0002405322,0.5471612,0.002327855,0.001209458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1021222,0.00003847382,0.8927795,0.0008238359,0.0007711339,0.001157866,0.002140324,0.0001037945,0.000062853],"genre_scores_gemma":[0.4861628,0.00001700004,0.5126075,0.0008378174,0.00005399445,0.0001186231,0.00003730533,0.00002960426,0.0001353109],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3840406,"threshold_uncertainty_score":0.9998513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303249620019502,"score_gpt":0.3404191639539342,"score_spread":0.210094201951984,"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."}}