{"id":"https://openalex.org/W1968029162","doi":"https://doi.org/10.1198/00401700152672500","title":"Identifying Significant Effects in Fractional Factorial Multiresponse Experiments","display_name":"Identifying Significant Effects in Fractional Factorial Multiresponse Experiments","publication_year":2001,"publication_date":"2001-11-01","ids":{"openalex":"https://openalex.org/W1968029162","doi":"https://doi.org/10.1198/00401700152672500","mag":"1968029162"},"language":"en","primary_location":{"id":"doi:10.1198/00401700152672500","is_oa":false,"landing_page_url":"https://doi.org/10.1198/00401700152672500","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"],"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/A5016239351","display_name":"\u00d8yvind Langsrud","orcid":"https://orcid.org/0000-0002-1380-4396"},"institutions":[{"id":"https://openalex.org/I4210091523","display_name":"Forskning.no (Norway)","ror":"https://ror.org/00c9dk124","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210091523"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"\u00d8yvind Langsrud","raw_affiliation_strings":["MATFORSK, Osloveien 1, N-1430 \u00c5s, Norway"],"affiliations":[{"raw_affiliation_string":"MATFORSK, Osloveien 1, N-1430 \u00c5s, Norway","institution_ids":["https://openalex.org/I4210091523"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016239351"],"corresponding_institution_ids":["https://openalex.org/I4210091523"],"apc_list":null,"apc_paid":null,"fwci":0.7114,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.64403173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"43","issue":"4","first_page":"415","last_page":"424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.7707201838493347},{"id":"https://openalex.org/keywords/fractional-factorial-design","display_name":"Fractional factorial design","score":0.710615336894989},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6928532719612122},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6666038036346436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6564733386039734},{"id":"https://openalex.org/keywords/factorial","display_name":"Factorial","score":0.6181948781013489},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.600192666053772},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5929890871047974},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5340323448181152},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.5299652218818665},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4780581295490265},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4663746953010559},{"id":"https://openalex.org/keywords/degrees-of-freedom","display_name":"Degrees of freedom (physics and chemistry)","score":0.45540010929107666},{"id":"https://openalex.org/keywords/factorial-experiment","display_name":"Factorial experiment","score":0.45407211780548096},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.2894442677497864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2091347873210907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07566025853157043}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7707201838493347},{"id":"https://openalex.org/C16469947","wikidata":"https://www.wikidata.org/wiki/Q2400745","display_name":"Fractional factorial design","level":3,"score":0.710615336894989},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6928532719612122},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6666038036346436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6564733386039734},{"id":"https://openalex.org/C183763347","wikidata":"https://www.wikidata.org/wiki/Q120976","display_name":"Factorial","level":2,"score":0.6181948781013489},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.600192666053772},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5929890871047974},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5340323448181152},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.5299652218818665},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4780581295490265},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4663746953010559},{"id":"https://openalex.org/C208081375","wikidata":"https://www.wikidata.org/wiki/Q274502","display_name":"Degrees of freedom (physics and chemistry)","level":2,"score":0.45540010929107666},{"id":"https://openalex.org/C169222746","wikidata":"https://www.wikidata.org/wiki/Q4116558","display_name":"Factorial experiment","level":2,"score":0.45407211780548096},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2894442677497864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2091347873210907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07566025853157043},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":1,"locations":[{"id":"doi:10.1198/00401700152672500","is_oa":false,"landing_page_url":"https://doi.org/10.1198/00401700152672500","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W85738211","https://openalex.org/W110366915","https://openalex.org/W1964105999","https://openalex.org/W1982594163","https://openalex.org/W1985713984","https://openalex.org/W2048659439","https://openalex.org/W2050214201","https://openalex.org/W2074423218","https://openalex.org/W2079775628","https://openalex.org/W2082546393","https://openalex.org/W2104772878","https://openalex.org/W2185888558","https://openalex.org/W2800491450","https://openalex.org/W4229941608","https://openalex.org/W4233147238","https://openalex.org/W4233706029","https://openalex.org/W4240385847","https://openalex.org/W4251697340"],"related_works":["https://openalex.org/W4297784416","https://openalex.org/W1590352712","https://openalex.org/W1988781812","https://openalex.org/W4230472231","https://openalex.org/W2011415552","https://openalex.org/W4254259809","https://openalex.org/W4230378348","https://openalex.org/W1554048027","https://openalex.org/W4229861962","https://openalex.org/W2480473412"],"abstract_inverted_index":{"A":[0],"forward":[1],"selection":[2],"procedure":[3],"for":[4,48,75],"identifying":[5],"active":[6],"contrasts":[7],"in":[8],"unreplicated":[9],"factorial":[10],"multiresponse":[11],"experiments":[12],"is":[13,33,85],"presented.":[14],"To":[15],"test":[16,32,65],"the":[17,28,50,56,61,64,68],"multivariate":[18],"effects,":[19],"p":[20],"values":[21],"are":[22,39],"calculated":[23],"by":[24,42],"Monte":[25],"Carlo":[26],"sampling;":[27],"ordinary":[29],"Hotelling's":[30],"T2":[31],"a":[34],"special":[35],"case.":[36],"Collinear":[37],"responses":[38],"effectively":[40],"handled":[41],"successive":[43],"principal-component":[44],"decompositions,":[45],"as":[46,71],"when,":[47],"instance,":[49],"number":[51,57],"of":[52,58,78],"response":[53],"variables":[54],"exceeds":[55],"observations.":[59],"In":[60],"univariate":[62],"case,":[63],"statistic":[66],"pools":[67],"smallest":[69],"effects":[70],"error.":[72],"Independent":[73],"sources":[74],"error":[76],"degrees":[77],"freedom":[79],"can":[80],"be":[81],"incorporated.":[82],"The":[83],"method":[84],"illustrated":[86],"with":[87],"examples":[88],"from":[89],"baguette":[90],"and":[91],"mayonnaise":[92],"production.":[93]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
