{"id":"W4389576601","doi":"10.1134/s1995080223090391","title":"Asymptotic and Bootstrap Confidence Intervals for the Ratio of Modes of Log-normal Distributions","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Confidence interval; Statistics; CDF-based nonparametric confidence interval; Confidence distribution; Monte Carlo method; Robust confidence intervals; Tolerance interval; Distribution (mathematics); Measure (data warehouse); Coverage probability; Normal distribution; Mode (computer interface); Mathematical analysis; Data mining","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":[0.02284736,0.001171631,0.001395154,0.005942771,0.0007273864,0.002163329,0.003549712,0.002127962,0.003929656],"category_scores_gemma":[0.2075119,0.0004061535,0.001723602,0.003547496,0.00201267,0.003401285,0.002370432,0.003414688,0.0006992829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054461,"about_ca_system_score_gemma":0.001135707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053214,"about_ca_topic_score_gemma":0.00115409,"domain_scores_codex":[0.9855765,0.00798875,0.0007201047,0.001937098,0.003412736,0.0003648603],"domain_scores_gemma":[0.8172511,0.1554525,0.008375617,0.007635531,0.01030276,0.0009824203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001226084,0.0003015988,0.04094105,0.001497757,0.0008078341,0.0007915019,0.001250951,0.3509532,0.005980604,0.1889255,0.006006709,0.4013173],"study_design_scores_gemma":[0.0001120852,0.0003336553,0.01802459,0.0006088282,0.0001772025,0.001041727,0.0005187135,0.8942763,0.005365053,0.07374345,0.005563553,0.0002347742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03597958,0.002085746,0.9572829,0.000198205,0.0001014476,0.0001700248,0.000423168,0.0009229011,0.002836028],"genre_scores_gemma":[0.5761026,0.001485546,0.4185932,0.0001556192,0.0002418322,0.0009949304,0.001428716,0.0002177031,0.0007798608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02284736,"threshold_uncertainty_score":0.1208299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437041261526247,"score_gpt":0.3997121614743723,"score_spread":0.2560080353217477,"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."}}