{"id":"https://openalex.org/W2035723374","doi":"https://doi.org/10.1109/tit.1982.1056577","title":"On a direct method of analysis and synthesis of the SPRT","display_name":"On a direct method of analysis and synthesis of the SPRT","publication_year":1982,"publication_date":"1982-11-01","ids":{"openalex":"https://openalex.org/W2035723374","doi":"https://doi.org/10.1109/tit.1982.1056577","mag":"2035723374"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1982.1056577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1982.1056577","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"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/A5035815966","display_name":"Ivan Vr\u00e1na","orcid":"https://orcid.org/0000-0001-5920-5631"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"I. Vrana","raw_affiliation_strings":["Department of Electrical Engineering, Czech Technical University, Praque, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Czech Technical University, Praque, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035815966"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.8515,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74152334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"28","issue":"6","first_page":"905","last_page":"911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9939000010490417,"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":0.9939000010490417,"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":0.9832000136375427,"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":0.9742000102996826,"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/sequential-probability-ratio-test","display_name":"Sequential probability ratio test","score":0.9526327252388},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6632611751556396},{"id":"https://openalex.org/keywords/wald-test","display_name":"Wald test","score":0.5127438306808472},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4667520821094513},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46591663360595703},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46401867270469666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45836174488067627},{"id":"https://openalex.org/keywords/sequential-analysis","display_name":"Sequential analysis","score":0.43972548842430115},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.3449563682079315},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.22053679823875427}],"concepts":[{"id":"https://openalex.org/C34602496","wikidata":"https://www.wikidata.org/wiki/Q2271882","display_name":"Sequential probability ratio test","level":2,"score":0.9526327252388},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6632611751556396},{"id":"https://openalex.org/C203274628","wikidata":"https://www.wikidata.org/wiki/Q748664","display_name":"Wald test","level":3,"score":0.5127438306808472},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4667520821094513},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46591663360595703},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46401867270469666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45836174488067627},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.43972548842430115},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3449563682079315},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.22053679823875427}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1982.1056577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1982.1056577","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2012037220","https://openalex.org/W2019060400","https://openalex.org/W2408460202","https://openalex.org/W2797328151","https://openalex.org/W4235786908","https://openalex.org/W6714123139"],"related_works":["https://openalex.org/W2067424133","https://openalex.org/W149552479","https://openalex.org/W4239759374","https://openalex.org/W2026860995","https://openalex.org/W2044024083","https://openalex.org/W2047392643","https://openalex.org/W1983530251","https://openalex.org/W2591273512","https://openalex.org/W1963887719","https://openalex.org/W23819059"],"abstract_inverted_index":{"The":[0],"behavior":[1],"of":[2,19,22,49,57,86],"the":[3,17,30,42,50,55,67,80,84,87],"sequential":[4],"probability":[5],"ratio":[6],"test":[7,32],"(SPRT)":[8],"can":[9],"be":[10],"described":[11],"using":[12],"four":[13],"performance":[14,68,81],"measures,":[15],"i.e.,":[16],"probabilities":[18],"both":[20],"types":[21],"error":[23],"<tex":[24,37],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[25,38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\\alpha_{0},":[26],"\\alpha_{1}</tex>":[27],",":[28],"and":[29,59],"average":[31],"lengths":[33],"(or":[34],"sample":[35],"sizes)":[36],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">E_{0},":[39],"E_{1}</tex>":[40],"for":[41,71],"given":[43,83],"decision":[44],"problem.":[45],"Whereas":[46],"Bayes":[47],"optimality":[48],"SPRT":[51],"is":[52,62],"well-known":[53],"from":[54],"work":[56],"Wald":[58],"Wolfowitz,":[60],"there":[61],"no":[63],"method":[64,77],"to":[65,78],"evaluate":[66,79],"measures":[69,82],"except":[70],"Wald's":[72],"approximations.":[73],"We":[74],"present":[75],"a":[76],"thresholds":[85],"SPRT.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
