{"id":"W4232947516","doi":"10.1016/j.jspi.2007.03.011","title":"Exact inference for a simple step-stress model with Type-I hybrid censored data from the exponential distribution","year":2007,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Exponential distribution; Estimator; Accelerated life testing; Applied mathematics; Statistics; Monte Carlo method; Moment (physics); Parametric statistics; Parametric model; Delta method; Exponential function; Inference; Weibull distribution; Mathematical analysis; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0165505,0.000869836,0.002389318,0.001058182,0.0005754593,0.001995363,0.003764015,0.00220029,0.00485999],"category_scores_gemma":[0.07333881,0.001474808,0.001629533,0.001923608,0.00287592,0.004387791,0.002239877,0.003154737,0.0005607755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024131,"about_ca_system_score_gemma":0.001689958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004978073,"about_ca_topic_score_gemma":0.005565297,"domain_scores_codex":[0.9954361,0.00251587,0.0002692919,0.001006397,0.0004723615,0.0002999259],"domain_scores_gemma":[0.9217517,0.06654179,0.002909049,0.006548751,0.001650823,0.000597864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001319077,0.0003614411,0.02919919,0.0005312567,0.0009595059,0.001022146,0.000688285,0.5310131,0.002247951,0.3160161,0.003965189,0.1126767],"study_design_scores_gemma":[0.00009015189,0.00007953548,0.003376527,0.00003802498,0.000089476,0.0001303948,0.00008328413,0.7927227,0.0004263015,0.2024055,0.0005160979,0.00004215316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06312986,0.0002189975,0.9350873,0.0003603698,0.00005561355,0.00005438109,0.0002974437,0.0002117556,0.0005842957],"genre_scores_gemma":[0.8239803,0.0005075955,0.1691958,0.0003111113,0.0002067637,0.0002201106,0.001246745,0.0001550853,0.004176431],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0165505,"threshold_uncertainty_score":0.08752841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344027248027278,"score_gpt":0.4180899922856365,"score_spread":0.2836872674829087,"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."}}