{"id":"https://openalex.org/W2013473487","doi":"https://doi.org/10.1080/01621459.1964.10480713","title":"Estimation of the Probability That an Observation Will Fall into a Specified Class","display_name":"Estimation of the Probability That an Observation Will Fall into a Specified Class","publication_year":1964,"publication_date":"1964-03-01","ids":{"openalex":"https://openalex.org/W2013473487","doi":"https://doi.org/10.1080/01621459.1964.10480713","mag":"2013473487"},"language":"en","primary_location":{"id":"doi:10.1080/01621459.1964.10480713","doi":"https://doi.org/10.1080/01621459.1964.10480713","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01621459.1964.10480713","pdf_url":null,"source":{"id":"https://openalex.org/S4394736638","display_name":"Journal of the American Statistical Association","issn_l":"0162-1459","issn":["0162-1459","1537-274X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Statistical Association","raw_type":"journal-article"},"volume":null,"type":"article","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/A5076162387","display_name":"Walter A. Hendricks","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I180297670","display_name":"RTI International","ror":"https://ror.org/052tfza37","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I137902535","https://openalex.org/I170897317","https://openalex.org/I180297670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Walter A. Hendricks","raw_affiliation_strings":["Research Triangle Institute","Research Triangle Institute;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Triangle Institute","institution_ids":["https://openalex.org/I180297670"]},{"raw_affiliation_string":"Research Triangle Institute;","institution_ids":["https://openalex.org/I180297670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076162387"],"corresponding_institution_ids":["https://openalex.org/I180297670"],"apc_list":null,"apc_paid":null,"fwci":0.8295,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66968839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"305","first_page":"225","last_page":"225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.39160001277923584,"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"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.39160001277923584,"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/T13500","display_name":"Probability and Statistical Research","score":0.3546999990940094,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.13750000298023224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probability-estimation","display_name":"probability estimation","score":0.7039999961853027},{"id":"https://openalex.org/keywords/categorical-data","display_name":"categorical data","score":0.6150000095367432},{"id":"https://openalex.org/keywords/prior-information","display_name":"prior information","score":0.4830000102519989},{"id":"https://openalex.org/keywords/bayesian-estimation","display_name":"Bayesian estimation","score":0.6359999775886536},{"id":"https://openalex.org/keywords/sampling-variance","display_name":"sampling variance","score":0.4690000116825104},{"id":"https://openalex.org/keywords/bivariate-normal-distribution","display_name":"bivariate normal distribution","score":0.6700000166893005},{"id":"https://openalex.org/keywords/expected-value-estimation","display_name":"expected value estimation","score":0.5},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"multinomial distribution","score":0.40299999713897705}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7996138334274292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6943308115005493},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.5049462914466858},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.49912071228027344},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4985384941101074},{"id":"https://openalex.org/C167723999","wikidata":"https://www.wikidata.org/wiki/Q3773214","display_name":"Sampling distribution","level":2,"score":0.4543832540512085},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45375561714172363},{"id":"https://openalex.org/C57205106","wikidata":"https://www.wikidata.org/wiki/Q3258519","display_name":"Inverse-chi-squared distribution","level":4,"score":0.4154115319252014},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4150148630142212},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.413187175989151},{"id":"https://openalex.org/C160947583","wikidata":"https://www.wikidata.org/wiki/Q2083147","display_name":"Distribution fitting","level":3,"score":0.1737993359565735},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1445161998271942},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07943642139434814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.07722240686416626},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01621459.1964.10480713","doi":"https://doi.org/10.1080/01621459.1964.10480713","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01621459.1964.10480713","pdf_url":null,"source":{"id":"https://openalex.org/S4394736638","display_name":"Journal of the American Statistical Association","issn_l":"0162-1459","issn":["0162-1459","1537-274X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Statistical Association","raw_type":"journal-article"},{"id":"doi:10.2307/2282871","doi":"https://doi.org/10.2307/2282871","is_oa":false,"landing_page_url":"https://doi.org/10.2307/2282871","pdf_url":null,"source":{"id":"https://openalex.org/S4394736638","display_name":"Journal of the American Statistical Association","issn_l":"0162-1459","issn":["0162-1459","1537-274X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Statistical Association","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/10","score":0.4099999964237213,"display_name":"Reduced inequalities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1520559947","https://openalex.org/W2076333420","https://openalex.org/W2093579479","https://openalex.org/W2110464026","https://openalex.org/W2795495912","https://openalex.org/W4233782578","https://openalex.org/W4238306122"],"related_works":["https://openalex.org/W1482303064","https://openalex.org/W2090858014","https://openalex.org/W2417462601","https://openalex.org/W2056047626","https://openalex.org/W4226219340","https://openalex.org/W2138241217","https://openalex.org/W4237509692","https://openalex.org/W2369600042","https://openalex.org/W2382984273","https://openalex.org/W2556662486"],"abstract_inverted_index":{"When":[0,30,56],"observations":[1],"in":[2,50,99,154],"a":[3,18,31,58,121],"random":[4],"sample":[5,53],"of":[6,24,37,54,74,83,118,129,135,138,148,158],"n":[7,14],"are":[8,93],"classified":[9],"into":[10,17],"k":[11],"categories":[12],"with":[13,102],"i":[15],"falling":[16],"given":[19,122],"class,":[20],"the":[21,25,35,38,57,72,81,84,103,115,127,136,145,151,155],"usual":[22],"estimate":[23],"corresponding":[26],"probability":[27],"is":[28,40,61,124],"ni/n.":[29],"priori":[32,59],"information":[33],"about":[34],"distribution":[36,60,76,107,137,147],"probabilities":[39],"available,":[41],"more":[42],"precise":[43],"estimates":[44],"can":[45,69,77],"be":[46,70,78,142],"derived":[47],"from":[48,80,126,144],"data":[49],"any":[51],"one":[52],"n.":[55],"not":[62],"specified":[63],"completely,":[64],"but":[65],"its":[66],"general":[67],"form":[68],"inferred,":[71],"parameters":[73,134],"that":[75,97],"estimated":[79,88,125,143],"average":[82],"ni/n":[85],"and":[86,114,150],"their":[87],"sampling":[89,152],"variances.":[90],"The":[91,133],"computations":[92],"analogous":[94],"to":[95,141],"those":[96,159],"arise":[98],"regression":[100,128],"theory":[101],"bivariate":[104],"normal":[105],"frequency":[106],"when":[108],"Y":[109,123,149],"=":[110],"X":[111,119,130,139],"+":[112],"e":[113],"expected":[116],"value":[117],"for":[120],"on":[131],"Y.":[132],"have":[140],"observed":[146],"errors":[153],"individual":[156],"values":[157],"observations.":[160]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}