{"id":"https://openalex.org/W4394784987","doi":"https://doi.org/10.1080/03610918.2024.2338186","title":"A more powerful test method for analyzing unreplicated factorial two-level experiments","display_name":"A more powerful test method for analyzing unreplicated factorial two-level experiments","publication_year":2024,"publication_date":"2024-04-12","ids":{"openalex":"https://openalex.org/W4394784987","doi":"https://doi.org/10.1080/03610918.2024.2338186"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2024.2338186","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2338186","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/A5076879070","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0002-3805-5125"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]},{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Y. Chen","raw_affiliation_strings":["Department of Statistics, Shanghai University of Finance and Economics Zhejiang College","School of Statistics and Management, Shanghai University of Finance and Economics","Department of Statistics, Shanghai University of Finance and Economics Zhejiang College, China Zhejiang","School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Shanghai University of Finance and Economics Zhejiang College","institution_ids":["https://openalex.org/I90727586","https://openalex.org/I181679659"]},{"raw_affiliation_string":"School of Statistics and Management, Shanghai University of Finance and Economics","institution_ids":["https://openalex.org/I181679659"]},{"raw_affiliation_string":"Department of Statistics, Shanghai University of Finance and Economics Zhejiang College, China Zhejiang","institution_ids":["https://openalex.org/I90727586","https://openalex.org/I181679659"]},{"raw_affiliation_string":"School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076879070"],"corresponding_institution_ids":["https://openalex.org/I181679659","https://openalex.org/I90727586"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0528893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":"8","first_page":"3165","last_page":"3181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9790999889373779,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9556000232696533,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/factorial-experiment","display_name":"Factorial experiment","score":0.7119162082672119},{"id":"https://openalex.org/keywords/factorial","display_name":"Factorial","score":0.6751606464385986},{"id":"https://openalex.org/keywords/remainder","display_name":"Remainder","score":0.5937029123306274},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.591743528842926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5556045174598694},{"id":"https://openalex.org/keywords/fractional-factorial-design","display_name":"Fractional factorial design","score":0.5066128969192505},{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.4388962984085083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41743892431259155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4154893457889557},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3985157012939453},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.27955102920532227}],"concepts":[{"id":"https://openalex.org/C169222746","wikidata":"https://www.wikidata.org/wiki/Q4116558","display_name":"Factorial experiment","level":2,"score":0.7119162082672119},{"id":"https://openalex.org/C183763347","wikidata":"https://www.wikidata.org/wiki/Q120976","display_name":"Factorial","level":2,"score":0.6751606464385986},{"id":"https://openalex.org/C39613435","wikidata":"https://www.wikidata.org/wiki/Q846677","display_name":"Remainder","level":2,"score":0.5937029123306274},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.591743528842926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5556045174598694},{"id":"https://openalex.org/C16469947","wikidata":"https://www.wikidata.org/wiki/Q2400745","display_name":"Fractional factorial design","level":3,"score":0.5066128969192505},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.4388962984085083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41743892431259155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4154893457889557},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3985157012939453},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.27955102920532227},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2024.2338186","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2338186","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W4843420","https://openalex.org/W53686962","https://openalex.org/W85738211","https://openalex.org/W99188862","https://openalex.org/W104059730","https://openalex.org/W184361929","https://openalex.org/W202563990","https://openalex.org/W303538025","https://openalex.org/W572397118","https://openalex.org/W1966059165","https://openalex.org/W1977333336","https://openalex.org/W1982594163","https://openalex.org/W1992188168","https://openalex.org/W2029845907","https://openalex.org/W2030070496","https://openalex.org/W2039089169","https://openalex.org/W2040860928","https://openalex.org/W2042476112","https://openalex.org/W2046546096","https://openalex.org/W2050210793","https://openalex.org/W2050562207","https://openalex.org/W2058519649","https://openalex.org/W2073688165","https://openalex.org/W2074169808","https://openalex.org/W2076342996","https://openalex.org/W2083903074","https://openalex.org/W2091857075","https://openalex.org/W2095274981","https://openalex.org/W2108483001","https://openalex.org/W2120637011","https://openalex.org/W2142794987","https://openalex.org/W2185888558","https://openalex.org/W2483479423","https://openalex.org/W2495045169","https://openalex.org/W2601870383","https://openalex.org/W2791467530","https://openalex.org/W2901194467","https://openalex.org/W2912132130","https://openalex.org/W3191465940","https://openalex.org/W3214774817","https://openalex.org/W4231526682","https://openalex.org/W4233706029","https://openalex.org/W4251697340","https://openalex.org/W4252928681"],"related_works":["https://openalex.org/W4297784416","https://openalex.org/W1590352712","https://openalex.org/W1988781812","https://openalex.org/W2945855118","https://openalex.org/W4230472231","https://openalex.org/W2011415552","https://openalex.org/W1554048027","https://openalex.org/W4254259809","https://openalex.org/W1967114272","https://openalex.org/W4229861962"],"abstract_inverted_index":{"Most":[0],"of":[1,13,66,130],"existing":[2,108],"methods":[3,127],"for":[4,53],"analyzing":[5],"unreplicated":[6,77],"two-level":[7],"factorial":[8,78],"designs":[9,79],"need":[10],"the":[11,21,46,51,64,82,99,116,123,131],"assumption":[12,23,27,48],"effect":[14],"sparsity":[15],"and":[16,49,106],"only":[17],"perform":[18],"well":[19],"when":[20],"effectssparsity":[22],"holds.":[24],"The":[25,70,111],"effects-sparsity":[26,47],"is":[28,33,63,73,94],"frequently":[29],"true,":[30],"but":[31],"it":[32],"not":[34,45],"always":[35],"true.":[36],"This":[37],"paper":[38],"proposes":[39],"a":[40],"new":[41],"method":[42,72,101,118],"that":[43,115],"needs":[44],"has":[50,119],"potential":[52],"detecting":[54],"up":[55],"to":[56,97],"m-1":[57],"active":[58],"effects,":[59],"in":[60,81,128],"which":[61],"m":[62],"number":[65],"effects":[67],"under":[68,133],"study.":[69,134],"proposed":[71,100,117],"illustrated":[74],"by":[75],"two":[76],"appeared":[80],"literature.":[83],"An":[84],"extensive":[85],"Monte":[86],"Carlo":[87],"comparison":[88],"study,":[89],"based":[90],"on":[91],"100,000":[92],"replications,":[93],"carried":[95],"out":[96],"compare":[98],"with":[102],"another":[103],"four":[104,125],"popular":[105],"powerful":[107],"objective":[109],"methods.":[110],"simulation":[112],"study":[113],"shows":[114],"more":[120],"power":[121],"than":[122],"remainder":[124],"compared":[126],"most":[129],"conditions":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}