{"id":"https://openalex.org/W1576561402","doi":"https://doi.org/10.21236/ad0602396","title":"BAYESIAN SINGLE SAMPLING ATTRIBUTE PLANS FOR DISCRETE PRIOR DISTRIBUTIONS","display_name":"BAYESIAN SINGLE SAMPLING ATTRIBUTE PLANS FOR DISCRETE PRIOR DISTRIBUTIONS","publication_year":1964,"publication_date":"1964-06-01","ids":{"openalex":"https://openalex.org/W1576561402","doi":"https://doi.org/10.21236/ad0602396","mag":"1576561402"},"language":"en","primary_location":{"id":"doi:10.21236/ad0602396","doi":"https://doi.org/10.21236/ad0602396","is_oa":false,"landing_page_url":"https://doi.org/10.21236/ad0602396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"US Dept of the Navy","raw_type":"report"},"volume":null,"type":"report","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018587388","display_name":"A. Hald","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"A. Hald","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5018587388"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-acceptance-sampling","display_name":"Bayesian acceptance sampling","score":0.8339999914169312},{"id":"https://openalex.org/keywords/average-cost-minimization","display_name":"average cost minimization","score":0.8550000190734863}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6705440282821655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.628104031085968},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5819489359855652},{"id":"https://openalex.org/C41054675","wikidata":"https://www.wikidata.org/wiki/Q185547","display_name":"Binomial distribution","level":2,"score":0.5475271344184875},{"id":"https://openalex.org/C53947966","wikidata":"https://www.wikidata.org/wiki/Q3546732","display_name":"Acceptance sampling","level":3,"score":0.5458330512046814},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5089807510375977},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5036703944206238},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.501600980758667},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.48941150307655334},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.4514339566230774},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32548099756240845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27101123332977295},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.17284858226776123},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.11535272002220154},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07540705800056458},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21236/ad0602396","doi":"https://doi.org/10.21236/ad0602396","is_oa":false,"landing_page_url":"https://doi.org/10.21236/ad0602396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"US Dept of the Navy","raw_type":"report"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2042154542","https://openalex.org/W1583481008","https://openalex.org/W7034061448","https://openalex.org/W2138634594","https://openalex.org/W2027174614","https://openalex.org/W2320058940","https://openalex.org/W2045360222","https://openalex.org/W1980544768","https://openalex.org/W4293008638","https://openalex.org/W2081868214"],"abstract_inverted_index":{"Abstract":[0],":":[1],"The":[2,102],"main":[3],"purpose":[4],"of":[5,17,19,22,48,118,135,159,164,172],"the":[6,33,41,46,74,96,99,109,116,124,133,139,157,162,170],"paper":[7],"was":[8,71],"to":[9],"give":[10],"a":[11,20,52,58,65,81,143,174],"rather":[12],"complete":[13],"tabulation":[14],"and":[15,44,64,91,113,120,138,145,152,161],"discussion":[16],"properties":[18],"system":[21],"single":[23],"sampling":[24,136,165],"attribute":[25],"plans":[26],"obtained":[27],"by":[28,169],"minimizing":[29],"average":[30,75,140],"costs":[31,36,76,117,134,158,163,171],"under":[32],"assumptions":[34],"that":[35,45],"are":[37],"linear":[38],"in":[39,80],"p,":[40],"fraction":[42],"defective,":[43],"distribution":[47,69],"lot":[49],"quality":[50,112],"is":[51,108],"double":[53],"binomial":[54,67],"distribution.":[55,101],"Starting":[56],"from":[57],"cost":[59],"function":[60],"containing":[61,84],"6":[62],"parameters":[63,97],"mixed":[66],"prior":[68,100],"it":[70],"shown":[72],"how":[73],"may":[77],"be":[78],"written":[79],"standard":[82],"form":[83],"only":[85],"two":[86],"parameters,":[87],"p":[88,92,105,127,149,153],"sub":[89,93,106,128,150,154],"r":[90,151],"s,":[94],"besides":[95],"defining":[98],"one":[103],"parameter,":[104,126],"r,":[107],"economic":[110],"break-even":[111],"depends":[114,131],"on":[115,132],"acceptance":[119],"rejection":[121,160],"only,":[122],"whereas":[123],"second":[125],"s":[129,155],"also":[130],"inspection":[137],"quality.":[141],"In":[142],"simple":[144],"practically":[146],"important":[147],"case":[148],"denote":[156],"inspection,":[166],"respectively,":[167],"divided":[168],"accepting":[173],"defective":[175],"item.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-02T10:15:12.560889","created_date":"2016-06-24T00:00:00"}