{"id":"W2067423980","doi":"10.1016/j.jspi.2010.09.024","title":"Exact likelihood inference for Laplace distribution based on Type-II censored samples","year":2010,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Quantile; Laplace distribution; Statistics; Inference; Applied mathematics; Estimator; Exponential function; Order statistic; Scale parameter; Laplace transform; Exponential distribution; Mathematical analysis","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"],"consensus_categories":[],"category_scores_codex":[0.0003238248,0.0001417543,0.0002620718,0.0000526298,0.0002548085,0.00007402769,0.000117774,0.00009508643,0.0001949182],"category_scores_gemma":[0.01506458,0.0001136029,0.00003714424,0.0001157061,0.0001434899,0.00008990158,0.0000193676,0.0003807812,0.000005481844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002546675,"about_ca_system_score_gemma":0.0001366707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003205787,"about_ca_topic_score_gemma":0.000001511554,"domain_scores_codex":[0.9988676,0.00003790233,0.000477726,0.000150938,0.0002540316,0.000211828],"domain_scores_gemma":[0.9936157,0.005256661,0.0002832112,0.000129288,0.0004911949,0.0002239135],"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":[0.0001815663,0.0002223084,0.0009822692,0.00006724164,0.00001392095,0.000003891371,0.00006056749,0.00006351065,0.0006462304,0.9794843,0.01168856,0.006585654],"study_design_scores_gemma":[0.002294497,0.002029218,0.094574,0.0004058823,0.0001865432,0.00003817403,0.0001324347,0.1792563,0.0008598836,0.706868,0.0128355,0.0005196094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02335116,0.000007677188,0.9737765,0.0005399481,0.000150751,0.0001336446,0.001718601,0.00002509278,0.0002966212],"genre_scores_gemma":[0.8811665,0.000004437919,0.1184029,0.0001112991,0.00006541373,0.000008566014,0.0002144136,0.000008138904,0.0000182918],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8578153,"threshold_uncertainty_score":0.993232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06510658717298524,"score_gpt":0.39498469885145,"score_spread":0.3298781116784648,"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."}}