{"id":"https://openalex.org/W4238731775","doi":"https://doi.org/10.1109/wsc.2016.7822116","title":"Multiple comparisons with a standard using false discovery rates","display_name":"Multiple comparisons with a standard using false discovery rates","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W4238731775","doi":"https://doi.org/10.1109/wsc.2016.7822116"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2016.7822116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2016.7822116","pdf_url":null,"source":{"id":"https://openalex.org/S4363607936","display_name":"2016 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Winter Simulation Conference (WSC)","raw_type":"proceedings-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/A5056067391","display_name":"Dashi I. Singham","orcid":"https://orcid.org/0000-0003-4201-4585"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dashi I. Singham","raw_affiliation_strings":["Department of Operations Research, Naval Postgraduate School, Monterey, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Operations Research, Naval Postgraduate School, Monterey, CA, USA","institution_ids":["https://openalex.org/I35364215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018546952","display_name":"Roberto Szechtman","orcid":null},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roberto Szechtman","raw_affiliation_strings":["Department of Operations Research, Naval Postgraduate School, Monterey, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Operations Research, Naval Postgraduate School, Monterey, CA, USA","institution_ids":["https://openalex.org/I35364215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056067391"],"corresponding_institution_ids":["https://openalex.org/I35364215"],"apc_list":null,"apc_paid":null,"fwci":0.8981,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76354029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"501","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13197","display_name":"Spreadsheets and End-User Computing","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.7805038690567017},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.708041250705719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6083491444587708},{"id":"https://openalex.org/keywords/null-hypothesis","display_name":"Null hypothesis","score":0.5938848257064819},{"id":"https://openalex.org/keywords/null-model","display_name":"Null model","score":0.5592502951622009},{"id":"https://openalex.org/keywords/null-distribution","display_name":"Null distribution","score":0.518085241317749},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.49036312103271484},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4334977865219116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37730494141578674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37045758962631226},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.3697270154953003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3199610114097595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28424644470214844},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2727202773094177},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.10118669271469116}],"concepts":[{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.7805038690567017},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.708041250705719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6083491444587708},{"id":"https://openalex.org/C191988596","wikidata":"https://www.wikidata.org/wiki/Q628374","display_name":"Null hypothesis","level":2,"score":0.5938848257064819},{"id":"https://openalex.org/C36382193","wikidata":"https://www.wikidata.org/wiki/Q7068966","display_name":"Null model","level":2,"score":0.5592502951622009},{"id":"https://openalex.org/C120639","wikidata":"https://www.wikidata.org/wiki/Q7068958","display_name":"Null distribution","level":4,"score":0.518085241317749},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.49036312103271484},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4334977865219116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37730494141578674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37045758962631226},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3697270154953003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3199610114097595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28424644470214844},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2727202773094177},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.10118669271469116},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2016.7822116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2016.7822116","pdf_url":null,"source":{"id":"https://openalex.org/S4363607936","display_name":"2016 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1460189015","https://openalex.org/W1510659740","https://openalex.org/W1999676077","https://openalex.org/W2009660843","https://openalex.org/W2029530218","https://openalex.org/W2037728958","https://openalex.org/W2100987884","https://openalex.org/W2107563734","https://openalex.org/W2110065044","https://openalex.org/W2124550001","https://openalex.org/W2144304907","https://openalex.org/W2165951235","https://openalex.org/W2797333853","https://openalex.org/W3103154150","https://openalex.org/W4247766997","https://openalex.org/W4252239234"],"related_works":["https://openalex.org/W1995992573","https://openalex.org/W2067135330","https://openalex.org/W2046875666","https://openalex.org/W200550325","https://openalex.org/W2950531074","https://openalex.org/W4294642869","https://openalex.org/W3165853831","https://openalex.org/W1915362844","https://openalex.org/W2081300969","https://openalex.org/W2342718458"],"abstract_inverted_index":{"We":[0,60],"introduce":[1],"a":[2,10,28,67,83],"new":[3],"framework":[4],"for":[5],"performing":[6],"multiple":[7],"comparisons":[8],"with":[9],"standard":[11],"when":[12],"simulation":[13],"models":[14],"are":[15,52],"available":[16],"to":[17,46,65],"estimate":[18],"the":[19,32,43,57,70,79],"performance":[20,36],"of":[21,31,56,75],"many":[22],"different":[23,53],"systems.":[24],"In":[25],"this":[26],"setting,":[27],"large":[29],"proportion":[30],"systems":[33,49,77],"have":[34],"mean":[35],"from":[37,54,78],"some":[38],"known":[39],"null":[40,58,80],"distribution,":[41],"and":[42,82],"goal":[44],"is":[45,90],"select":[47],"alternative":[48],"whose":[50],"means":[51],"that":[55],"distribution.":[59],"employ":[61],"empirical":[62],"Bayes":[63],"ideas":[64],"achieve":[66],"bound":[68],"on":[69],"false":[71],"discovery":[72],"rate":[73],"(proportion":[74],"selected":[76],"distribution)":[81],"desired":[84],"probability":[85],"an":[86],"alternate":[87],"type":[88],"system":[89],"selected.":[91]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
