{"id":"https://openalex.org/W2553804928","doi":"https://doi.org/10.1080/00401706.2016.1258010","title":"Design for Sequential Follow-Up Experiments in Computer Emulations","display_name":"Design for Sequential Follow-Up Experiments in Computer Emulations","publication_year":2016,"publication_date":"2016-11-15","ids":{"openalex":"https://openalex.org/W2553804928","doi":"https://doi.org/10.1080/00401706.2016.1258010","mag":"2553804928"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2016.1258010","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2016.1258010","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Design_for_sequential_follow-up_experiments_in_computer_emulations/4234199","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045087315","display_name":"Xiangshun Kong","orcid":"https://orcid.org/0000-0002-5690-7969"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangshun Kong","raw_affiliation_strings":["LMAM, School of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"LMAM, School of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083167231","display_name":"Mingyao Ai","orcid":"https://orcid.org/0000-0002-0421-0051"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyao Ai","raw_affiliation_strings":["LMAM, School of Mathematical Sciences, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"LMAM, School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002878668","display_name":"Kwok\u2010Leung Tsui","orcid":"https://orcid.org/0000-0002-0558-2279"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok Leung Tsui","raw_affiliation_strings":["Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083167231"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.7953,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87580512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"60","issue":"1","first_page":"61","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","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/T11798","display_name":"Optimal Experimental Design Methods","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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.9401631355285645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7048885226249695},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.6837907433509827},{"id":"https://openalex.org/keywords/computer-experiment","display_name":"Computer experiment","score":0.6699793338775635},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5658679008483887},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5545873045921326},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5054407119750977},{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.4514429569244385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44083407521247864},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3746224641799927},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33226388692855835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21008101105690002},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1916898787021637},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.19028207659721375},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.13922303915023804},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08865028619766235}],"concepts":[{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.9401631355285645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048885226249695},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.6837907433509827},{"id":"https://openalex.org/C87466663","wikidata":"https://www.wikidata.org/wiki/Q5157537","display_name":"Computer experiment","level":2,"score":0.6699793338775635},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5658679008483887},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5545873045921326},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5054407119750977},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.4514429569244385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44083407521247864},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3746224641799927},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33226388692855835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21008101105690002},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1916898787021637},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.19028207659721375},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.13922303915023804},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08865028619766235},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/00401706.2016.1258010","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2016.1258010","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/4234199","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Design_for_sequential_follow-up_experiments_in_computer_emulations/4234199","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.4234199.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.4234199.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/4234199","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Design_for_sequential_follow-up_experiments_in_computer_emulations/4234199","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1967692477","https://openalex.org/W2015616421","https://openalex.org/W2038669746","https://openalex.org/W2051591670","https://openalex.org/W2053934160","https://openalex.org/W2056145269","https://openalex.org/W2071357734","https://openalex.org/W2073065008","https://openalex.org/W2073194613","https://openalex.org/W2073987885","https://openalex.org/W2090766112","https://openalex.org/W2106390386","https://openalex.org/W2116442710","https://openalex.org/W2140723292","https://openalex.org/W2144331158","https://openalex.org/W2150099882","https://openalex.org/W2151025666","https://openalex.org/W2154735538","https://openalex.org/W2163922269","https://openalex.org/W2461135312","https://openalex.org/W2795848266","https://openalex.org/W2919208607","https://openalex.org/W4229926969","https://openalex.org/W4237151101","https://openalex.org/W4247680473"],"related_works":["https://openalex.org/W3140877021","https://openalex.org/W2053441408","https://openalex.org/W1511940981","https://openalex.org/W3122354371","https://openalex.org/W3101215367","https://openalex.org/W4290004782","https://openalex.org/W3122894214","https://openalex.org/W2060247374","https://openalex.org/W2467179035","https://openalex.org/W2158196689"],"abstract_inverted_index":{"Sequential":[0],"experiments":[1,5,8,70],"composed":[2],"of":[3,18,47,54,67,76,78,92,115,126],"initial":[4,32,80],"and":[6,112],"follow-up":[7,49,69],"are":[9,119,129,137,150],"widely":[10],"adopted":[11],"for":[12,29,88,121,147],"economical":[13],"computer":[14,33],"emulations.":[15],"Many":[16],"kinds":[17],"Latin":[19,40,56],"hypercube":[20,57],"designs":[21,58,91,101,128],"with":[22],"good":[23,104],"space-filling":[24,106,134],"properties":[25,111],"have":[26,103],"been":[27],"proposed":[28],"designing":[30],"the":[31,45,48,65,68,79,99,109,142],"experiments.":[34,50,81],"However,":[35],"little":[36],"work":[37],"based":[38],"on":[39,44],"hypercubes":[41],"has":[42],"focused":[43],"design":[46],"Although":[51],"some":[52],"constructions":[53],"nested":[55],"can":[59],"be":[60,73],"adapted":[61],"to":[62,72,102,131,140],"sequential":[63,90],"designs,":[64],"size":[66,94],"needs":[71],"a":[74,85,113],"multiple":[75],"that":[77],"In":[82],"this":[83,148],"article,":[84],"general":[86],"method":[87],"constructing":[89],"flexible":[93],"is":[95],"proposed,":[96],"which":[97],"allows":[98],"combined":[100],"one-dimensional":[105],"properties.":[107,135],"Moreover,":[108],"sampling":[110],"type":[114],"central":[116],"limit":[117],"theorem":[118],"derived":[120],"these":[122,127],"designs.":[123],"Several":[124],"improvements":[125],"made":[130],"achieve":[132],"better":[133],"Simulations":[136],"carried":[138],"out":[139],"verify":[141],"theoretical":[143],"results.":[144],"Supplementary":[145],"materials":[146],"article":[149],"available":[151],"online.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
