{"id":"W2772703422","doi":"10.5539/ass.v14n1p1","title":"Multivariate Statistical Quality Control Based on Ranked Set Sampling","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control chart; Sampling (signal processing); Statistics; Simple random sample; Statistical process control; Multivariate statistics; Sample (material); Set (abstract data type); RSS; Sample size determination; Stratified sampling; Systematic sampling; Mathematics; Computer science; Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1098003,0.001321143,0.001882298,0.005328367,0.001903126,0.002619236,0.00238917,0.0008647368,0.003046485],"category_scores_gemma":[0.1971015,0.0006443844,0.002460065,0.006566417,0.002600617,0.001376025,0.001980147,0.001854466,0.0005900608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002684287,"about_ca_system_score_gemma":0.005513103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006087606,"about_ca_topic_score_gemma":0.004555253,"domain_scores_codex":[0.8409479,0.1134956,0.01056992,0.008751835,0.02495484,0.001279874],"domain_scores_gemma":[0.8004072,0.1175933,0.01246875,0.02463345,0.04402036,0.0008769747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003157012,0.001036933,0.03878997,0.002977556,0.001111831,0.0004516593,0.006712663,0.09324317,0.01638431,0.09791242,0.00724366,0.7309788],"study_design_scores_gemma":[0.00129813,0.009352603,0.05688736,0.0008795858,0.0007748473,0.0005785798,0.002845446,0.7527449,0.0589112,0.07626616,0.03883431,0.0006269655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01687428,0.00008735118,0.9771187,0.00005821268,0.00006086933,0.004117847,0.0002543501,0.0004100223,0.001018309],"genre_scores_gemma":[0.126053,0.0001115674,0.8646984,0.00005357566,0.00005547686,0.007891291,0.0005086036,0.00009372892,0.0005343546],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1098003,"threshold_uncertainty_score":0.5806862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2583827880670926,"score_gpt":0.5463769633513844,"score_spread":0.2879941752842918,"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."}}