{"id":"https://openalex.org/W2103198577","doi":"https://doi.org/10.1109/tit.1980.1056152","title":"A sequential multiple hypotheses test for the unknown parameters of a Gaussian distribution (Corresp.)","display_name":"A sequential multiple hypotheses test for the unknown parameters of a Gaussian distribution (Corresp.)","publication_year":1980,"publication_date":"1980-03-01","ids":{"openalex":"https://openalex.org/W2103198577","doi":"https://doi.org/10.1109/tit.1980.1056152","mag":"2103198577"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1980.1056152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1980.1056152","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/A5078346904","display_name":"S. Fleisher","orcid":null},"institutions":[{"id":"https://openalex.org/I157943965","display_name":"Holon Institute of Technology","ror":"https://ror.org/02prqh017","country_code":"IL","type":"education","lineage":["https://openalex.org/I157943965"]},{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"S. Fleisher","raw_affiliation_strings":["School of Engineering, Holon Institute of Technology, Tel-Aviv University, Holon, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Holon Institute of Technology, Tel-Aviv University, Holon, Israel","institution_ids":["https://openalex.org/I157943965","https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108187336","display_name":"E. Shwedyk","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"E. Shwedyk","raw_affiliation_strings":["Electrical Engineering Department, University of Manitoba, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.9318,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78863869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"26","issue":"2","first_page":"255","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9976999759674072,"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":0.9976999759674072,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9965000152587891,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9853000044822693,"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/generalization","display_name":"Generalization","score":0.5972512364387512},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5506585836410522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5461241006851196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.536715567111969},{"id":"https://openalex.org/keywords/sigma","display_name":"Sigma","score":0.5320210456848145},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5026440620422363},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4967725872993469},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4748556613922119},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43746745586395264},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.413875937461853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38255855441093445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32044386863708496},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2800449728965759}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5972512364387512},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5506585836410522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5461241006851196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.536715567111969},{"id":"https://openalex.org/C2778049214","wikidata":"https://www.wikidata.org/wiki/Q7512234","display_name":"Sigma","level":2,"score":0.5320210456848145},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5026440620422363},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4967725872993469},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4748556613922119},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43746745586395264},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.413875937461853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38255855441093445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32044386863708496},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2800449728965759},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1980.1056152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1980.1056152","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322596","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1485035304","https://openalex.org/W1989165449","https://openalex.org/W2012037220","https://openalex.org/W2045597468","https://openalex.org/W2051694188","https://openalex.org/W2054228049","https://openalex.org/W2072006601","https://openalex.org/W2158669479","https://openalex.org/W2167770337","https://openalex.org/W2797457562","https://openalex.org/W4230704549"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W4200527723"],"abstract_inverted_index":{"A":[0],"sequential":[1,101,130],"multiple":[2],"hypotheses":[3],"test":[4,65],"for":[5,55,103],"the":[6,27,47,56,60,64,67,81,93,99,105,113,119,128,136],"unknown":[7,23,43],"parameters":[8],"of":[9,17,37,63,112,115,127],"a":[10,18,38,75,124],"Gaussian":[11],"distribution":[12],"is":[13,31,98,123,133],"developed.":[14],"The":[15,70],"case":[16],"known":[19,39],"variance":[20,44],"but":[21,41],"an":[22,42],"mean":[24,40],"belonging":[25,45],"to":[26,46,143],"set":[28],"(00,01,'''":[29],",Om_l}":[30],"considered":[32],"as":[33,35,87,92],"well":[34],"that":[36,80,121,135],"set\\{\\sigma^{2}_{0},":[48],"\\sigma^{2}_{1},\\cdots":[49],",\\sigma^{2}_{m-1}\\}.":[50],"Analytical":[51],"expressions":[52],"are":[53,72,95],"developed":[54],"algorithm":[57,77,83,102,117,137],"performance,":[58],"i.e.,":[59],"average":[61],"length":[62],"and":[66,78,118],"error":[68],"probability.":[69],"results":[71],"compared":[73],"with":[74],"Bayes":[76],"show":[79],"new":[82],"needs":[84],"about":[85],"half":[86],"many":[88],"samples.":[89],"As":[90],"far":[91],"authors":[94],"aware":[96],"this":[97,116],"firstmary":[100],"which":[104],"performance":[106,114],"has":[107],"been":[108],"found":[109],"analytically.":[110],"Because":[111],"fact":[120],"it":[122,132],"natural":[125],"generalization":[126],"binary":[129],"test,":[131],"felt":[134],"may":[138],"be":[139],"optimum":[140],"or":[141],"close":[142],"optimum.":[144]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}