{"id":"W2122473206","doi":"10.1080/00949650903421085","title":"Variance estimation of the Buckley–James estimator under discrete assumptions","year":2010,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Estimator; Mathematics; Delta method; Asymptotic distribution; Minimum-variance unbiased estimator; Statistics; Applied mathematics; Consistent estimator; Efficient estimator; Trimmed estimator; Variance (accounting); Standard deviation; Least absolute deviations","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":[0.009662438,0.0005246836,0.0011667,0.001427153,0.0004080566,0.001356021,0.001644661,0.001034953,0.001621863],"category_scores_gemma":[0.04793943,0.0004947621,0.0008726016,0.001311615,0.001113276,0.002166979,0.001528276,0.001765896,0.0004293306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006297298,"about_ca_system_score_gemma":0.001190238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555119,"about_ca_topic_score_gemma":0.001005572,"domain_scores_codex":[0.994832,0.002765807,0.0002803004,0.0006801301,0.001239728,0.0002019038],"domain_scores_gemma":[0.9788507,0.01622561,0.001070447,0.002084532,0.001608435,0.0001602218],"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":[0.0003465584,0.0001627536,0.01280902,0.0005058959,0.0003983353,0.0003061907,0.0004358983,0.3602188,0.006981409,0.3405482,0.004264001,0.2730229],"study_design_scores_gemma":[0.00004394173,0.0001118251,0.003116652,0.0000765795,0.00005390004,0.0002293076,0.00005601927,0.8967476,0.004130908,0.09189464,0.00348197,0.0000566001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008401489,0.0002703846,0.9902447,0.0001034871,0.00002616341,0.00003635361,0.00003391872,0.0001211581,0.0007623813],"genre_scores_gemma":[0.413717,0.0007875334,0.5815151,0.0002777612,0.0001624699,0.0002890764,0.0004178906,0.000146845,0.002686285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009662438,"threshold_uncertainty_score":0.05110043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965979063488452,"score_gpt":0.3898735450723724,"score_spread":0.3502137544374879,"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."}}