{"id":"https://openalex.org/W2953276728","doi":"https://doi.org/10.1080/00401706.2019.1630010","title":"Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments","display_name":"Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments","publication_year":2019,"publication_date":"2019-06-19","ids":{"openalex":"https://openalex.org/W2953276728","doi":"https://doi.org/10.1080/00401706.2019.1630010","mag":"2953276728"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2019.1630010","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2019.1630010","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/A5112457970","display_name":"Sumin Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumin Shen","raw_affiliation_strings":["Department of Statistics, Virginia Tech, Blacksburg, VA;"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Virginia Tech, Blacksburg, VA;","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060603074","display_name":"Lulu Kang","orcid":"https://orcid.org/0000-0002-6000-3436"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lulu Kang","raw_affiliation_strings":["Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003817085","display_name":"Xinwei Deng","orcid":"https://orcid.org/0000-0002-1560-2405"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinwei Deng","raw_affiliation_strings":["Department of Statistics, Virginia Tech, Blacksburg, VA;"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Virginia Tech, Blacksburg, VA;","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060603074"],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":1.1883,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81031072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"62","issue":"2","first_page":"265","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.996999979019165,"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":0.996999979019165,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9883999824523926,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9611999988555908,"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/heredity","display_name":"Heredity","score":0.7045049071311951},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6933391094207764},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5639533400535583},{"id":"https://openalex.org/keywords/minor","display_name":"Minor (academic)","score":0.5226844549179077},{"id":"https://openalex.org/keywords/additive-model","display_name":"Additive model","score":0.5004017353057861},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4952346384525299},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.48652926087379456},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4828239381313324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47692081332206726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3779430687427521},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3577202260494232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35668298602104187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21702897548675537},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07142886519432068}],"concepts":[{"id":"https://openalex.org/C143098186","wikidata":"https://www.wikidata.org/wiki/Q178694","display_name":"Heredity","level":2,"score":0.7045049071311951},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6933391094207764},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5639533400535583},{"id":"https://openalex.org/C2779760435","wikidata":"https://www.wikidata.org/wiki/Q5396169","display_name":"Minor (academic)","level":2,"score":0.5226844549179077},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.5004017353057861},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4952346384525299},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.48652926087379456},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4828239381313324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47692081332206726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3779430687427521},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3577202260494232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35668298602104187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21702897548675537},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07142886519432068},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.2019.1630010","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2019.1630010","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":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W605406719","https://openalex.org/W1605920073","https://openalex.org/W1968224809","https://openalex.org/W1968371014","https://openalex.org/W1981313864","https://openalex.org/W1983583251","https://openalex.org/W2010766404","https://openalex.org/W2015463239","https://openalex.org/W2016553279","https://openalex.org/W2017874407","https://openalex.org/W2024969042","https://openalex.org/W2037643360","https://openalex.org/W2044939657","https://openalex.org/W2047823059","https://openalex.org/W2050581940","https://openalex.org/W2053934160","https://openalex.org/W2057337289","https://openalex.org/W2058382400","https://openalex.org/W2070094080","https://openalex.org/W2081693883","https://openalex.org/W2086680598","https://openalex.org/W2111174809","https://openalex.org/W2138430982","https://openalex.org/W2141216374","https://openalex.org/W2141613549","https://openalex.org/W2212595894","https://openalex.org/W2262437913","https://openalex.org/W2315306166","https://openalex.org/W2323843899","https://openalex.org/W2478738321","https://openalex.org/W2509991828","https://openalex.org/W2517953974","https://openalex.org/W2529364048","https://openalex.org/W2903869014","https://openalex.org/W2904522103","https://openalex.org/W2904978642","https://openalex.org/W3215598180","https://openalex.org/W4235977256","https://openalex.org/W4238943743","https://openalex.org/W4242511109"],"related_works":["https://openalex.org/W4211197031","https://openalex.org/W1971658312","https://openalex.org/W2416067779","https://openalex.org/W1965635919","https://openalex.org/W2536221661","https://openalex.org/W1853799209","https://openalex.org/W2025931908","https://openalex.org/W1998035802","https://openalex.org/W1974875084","https://openalex.org/W3121895403"],"abstract_inverted_index":{"The":[0,48,90,108],"mixture-of-mixtures":[1],"(MoM)":[2],"experiment":[3,10],"is":[4,24],"different":[5],"from":[6],"the":[7,13,21,31,58,62,71,74,83,93,121],"classical":[8],"mixture":[9,14],"in":[11,16,101,114,120],"that":[12],"component":[15],"MoM":[17,46,106],"experiments,":[18],"known":[19,29],"as":[20,30],"major":[22,59],"component,":[23],"made":[25],"up":[26],"of":[27,92],"subcomponents,":[28],"minor":[32,63],"components.":[33,64],"In":[34],"this":[35,126],"article,":[36],"we":[37],"propose":[38],"an":[39,52],"additive":[40,53],"heredity":[41,77],"model":[42,50,88],"(AHM)":[43],"for":[44,70,87,125],"analyzing":[45],"experiments.":[47,107],"proposed":[49],"considers":[51],"structure":[54],"to":[55,97],"inherently":[56],"connect":[57],"components":[60],"with":[61],"To":[65],"enable":[66],"a":[67],"meaningful":[68],"interpretation":[69],"estimated":[72],"model,":[73],"hierarchical":[75],"and":[76,104],"principles":[78],"are":[79,128],"applied":[80,113],"by":[81],"using":[82],"nonnegative":[84],"garrote":[85],"technique":[86],"selection.":[89],"performance":[91],"AHM":[94,109],"was":[95,110],"compared":[96],"several":[98],"conventional":[99],"methods":[100],"both":[102],"unconstrained":[103],"constrained":[105],"then":[111],"successfully":[112],"two":[115],"real-world":[116],"problems":[117],"studied":[118],"previously":[119],"literature.":[122],"Supplementary":[123],"materials":[124],"article":[127],"available":[129],"online.":[130]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
