{"id":"https://openalex.org/W2062411706","doi":"https://doi.org/10.1080/03610910601096569","title":"Simultaneous Confidence Intervals for the Mean of Multivariate Poisson Distribution: A Comparison","display_name":"Simultaneous Confidence Intervals for the Mean of Multivariate Poisson Distribution: A Comparison","publication_year":2007,"publication_date":"2007-01-30","ids":{"openalex":"https://openalex.org/W2062411706","doi":"https://doi.org/10.1080/03610910601096569","mag":"2062411706"},"language":"en","primary_location":{"id":"doi:10.1080/03610910601096569","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910601096569","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5056545688","display_name":"Myoungshic Jhun","orcid":null},"institutions":[{"id":"https://openalex.org/I1317225278","display_name":"Statistics Korea","ror":"https://ror.org/004g7jm05","country_code":"KR","type":"government","lineage":["https://openalex.org/I1317225278","https://openalex.org/I2801339556","https://openalex.org/I4210126005"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myoungshic Jhun","raw_affiliation_strings":["Department of Statistics , Korea University , Seoul, Korea","Dept. of Statistics, Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics , Korea University , Seoul, Korea","institution_ids":["https://openalex.org/I197347611","https://openalex.org/I1317225278"]},{"raw_affiliation_string":"Dept. of Statistics, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611","https://openalex.org/I1317225278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110112763","display_name":"Hyeong Chul Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I16764540","display_name":"University of Suwon","ror":"https://ror.org/03ysk5e42","country_code":"KR","type":"education","lineage":["https://openalex.org/I16764540"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyeong Chul Jeong","raw_affiliation_strings":["Department of Applied Statistics , The University of Suwon , Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics , The University of Suwon , Suwon, Korea","institution_ids":["https://openalex.org/I16764540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038150953","display_name":"Joshua Seungwook Bahng","orcid":null},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joshua Seungwook Bahng","raw_affiliation_strings":["Department of Management and Economics , Handong Global University , Pohang, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Management and Economics , Handong Global University , Pohang, Korea","institution_ids":["https://openalex.org/I113825674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110112763"],"corresponding_institution_ids":["https://openalex.org/I16764540"],"apc_list":null,"apc_paid":null,"fwci":0.5865,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72214631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"36","issue":"1","first_page":"151","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9998999834060669,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9998999834060669,"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":0.9988999962806702,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9987000226974487,"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/confidence-interval","display_name":"Confidence interval","score":0.729951024055481},{"id":"https://openalex.org/keywords/bonferroni-correction","display_name":"Bonferroni correction","score":0.7120280265808105},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.7008408308029175},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6247638463973999},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.589772641658783},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.5171536803245544},{"id":"https://openalex.org/keywords/confidence-distribution","display_name":"Confidence distribution","score":0.49702027440071106},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4634530246257782},{"id":"https://openalex.org/keywords/robust-confidence-intervals","display_name":"Robust confidence intervals","score":0.44701847434043884},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.4365849792957306},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.4278546869754791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42430925369262695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4214457869529724},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41667497158050537},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3774588704109192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14698749780654907}],"concepts":[{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.729951024055481},{"id":"https://openalex.org/C127808970","wikidata":"https://www.wikidata.org/wiki/Q385989","display_name":"Bonferroni correction","level":2,"score":0.7120280265808105},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7008408308029175},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6247638463973999},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.589772641658783},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5171536803245544},{"id":"https://openalex.org/C13662513","wikidata":"https://www.wikidata.org/wiki/Q5160087","display_name":"Confidence distribution","level":3,"score":0.49702027440071106},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4634530246257782},{"id":"https://openalex.org/C66520545","wikidata":"https://www.wikidata.org/wiki/Q7353538","display_name":"Robust confidence intervals","level":3,"score":0.44701847434043884},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.4365849792957306},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.4278546869754791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42430925369262695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4214457869529724},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41667497158050537},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3774588704109192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14698749780654907},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910601096569","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910601096569","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1544729927","https://openalex.org/W1963916765","https://openalex.org/W1986979306","https://openalex.org/W1995945562","https://openalex.org/W2003309820","https://openalex.org/W2003602339","https://openalex.org/W2003669981","https://openalex.org/W2010100928","https://openalex.org/W2013215086","https://openalex.org/W2017903413","https://openalex.org/W2030311425","https://openalex.org/W2037586880","https://openalex.org/W2067707835","https://openalex.org/W2071122580","https://openalex.org/W2105381419","https://openalex.org/W2110065044","https://openalex.org/W2115012618","https://openalex.org/W2126843316","https://openalex.org/W2163800281","https://openalex.org/W2330606328","https://openalex.org/W2796856748","https://openalex.org/W3106889297","https://openalex.org/W4230727657","https://openalex.org/W4234963772"],"related_works":["https://openalex.org/W2350449091","https://openalex.org/W3178283125","https://openalex.org/W913292429","https://openalex.org/W2349984623","https://openalex.org/W2183054518","https://openalex.org/W2146809602","https://openalex.org/W1985842765","https://openalex.org/W2140024656","https://openalex.org/W2575988768","https://openalex.org/W4232186975"],"abstract_inverted_index":{"This":[0,23],"article":[1],"proposes":[2],"use":[3],"of":[4,72,77,123,129,140],"a":[5,19,35],"bootstrap":[6,27,158],"approach":[7],"to":[8,29,151,160,181],"infer":[9],"the":[10,26,30,44,53,60,69,73,78,121,130,157,169,186],"simultaneous":[11,36,54],"confidence":[12,37,118],"level":[13,38],"and":[14,39,66,108],"its":[15,40,148],"data":[16,162,187],"intervals":[17,55],"from":[18],"multivariate":[20,124],"Poisson":[21],"distribution.":[22],"study":[24,155],"applies":[25,156],"method":[28,74,159,174],"following":[31],"issues:":[32],"(1)":[33],"estimating":[34],"standard":[41],"error":[42,47,62],"when":[43,59],"marginal":[45,57],"experiment-wise":[46],"rate":[48,63],"is":[49,64,175],"given;":[50,65],"(2)":[51],"constructing":[52],"for":[56,120],"means":[58,122],"family-wise":[61],"(3)":[67],"comparing":[68],"statistical":[70],"robustness":[71],"with":[75,168],"that":[76],"two":[79,170],"methods":[80],"previously":[81],"proposed":[82],"by":[83],"Bonferroni":[84],"Miller":[85,87],"(1981":[86],",":[88,91,105,112,143],"R.":[89],"G.":[90],"Jr.":[92],"(":[93,114],"1981":[94],").":[95,116],"Simultaneous":[96],"Statistical":[97,132],"Inference":[98],".":[99,127],"New":[100],"York":[101],":":[102,135],"Springer-Verlag":[103],".[Crossref]":[104],"[Google":[106,144],"Scholar])":[107],"[Sbreve]id\u00e1k":[109,111],"(1967":[110],"Z.":[113],"1967":[115],"Rectangular":[117],"regions":[119],"normal":[125],"distributions":[126],"Journal":[128],"American":[131],"Association":[133],"62":[134],"626":[136],"\u2013":[137],"633":[138],".[Web":[139],"Science":[141],"\u00ae]":[142],"Scholar]).":[145],"To":[146],"demonstrate":[147],"potential":[149],"applicability":[150],"real-world":[152],"problems,":[153],"this":[154],"U.S.":[161],"on":[163],"communicable":[164],"diseases.":[165],"When":[166],"compared":[167],"competing":[171],"methods,":[172],"our":[173,190],"statistically":[176],"more":[177],"consistent,":[178],"perhaps":[179],"due":[180],"possible":[182],"dependence":[183],"structures":[184],"among":[185],"incorporated":[188],"into":[189],"model.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}