{"id":"https://openalex.org/W2755160535","doi":"https://doi.org/10.4018/ijsds.2017100102","title":"Variation Sharing","display_name":"Variation Sharing","publication_year":2017,"publication_date":"2017-09-13","ids":{"openalex":"https://openalex.org/W2755160535","doi":"https://doi.org/10.4018/ijsds.2017100102","mag":"2755160535"},"language":"en","primary_location":{"id":"doi:10.4018/ijsds.2017100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsds.2017100102","pdf_url":null,"source":{"id":"https://openalex.org/S11317544","display_name":"International Journal of Strategic Decision Sciences","issn_l":"1947-8569","issn":["1947-8569","1947-8577"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Strategic Decision Sciences","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/A5038013745","display_name":"Ned Kock","orcid":"https://orcid.org/0000-0002-5791-5434"},"institutions":[{"id":"https://openalex.org/I131740757","display_name":"Texas A&M International University","ror":"https://ror.org/028861t28","country_code":"US","type":"education","lineage":["https://openalex.org/I131740757"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ned Kock","raw_affiliation_strings":["Department of International Business and Technology Studies, Texas A&M International University, Laredo, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of International Business and Technology Studies, Texas A&M International University, Laredo, TX, USA","institution_ids":["https://openalex.org/I131740757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032804544","display_name":"Shaun Sexton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaun Sexton","raw_affiliation_strings":["Megabus USA, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Megabus USA, Chicago, IL, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038013745"],"corresponding_institution_ids":["https://openalex.org/I131740757"],"apc_list":null,"apc_paid":null,"fwci":0.5167,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.71630449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":"4","first_page":"46","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9241999983787537,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9241999983787537,"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/T13398","display_name":"Data Analysis with R","score":0.902899980545044,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.529778242111206},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5184930562973022},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4948861002922058},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4932093024253845},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.48568329215049744},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4580039978027344},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.45293739438056946},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.4392399191856384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4375803470611572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4349874258041382},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4227513074874878},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.41972625255584717},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3389563262462616}],"concepts":[{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.529778242111206},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5184930562973022},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4948861002922058},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4932093024253845},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48568329215049744},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4580039978027344},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.45293739438056946},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.4392399191856384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4375803470611572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4349874258041382},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4227513074874878},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.41972625255584717},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3389563262462616},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijsds.2017100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsds.2017100102","pdf_url":null,"source":{"id":"https://openalex.org/S11317544","display_name":"International Journal of Strategic Decision Sciences","issn_l":"1947-8569","issn":["1947-8569","1947-8577"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Strategic Decision Sciences","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jsds00:v:8:y:2017:i:4:p:46-68","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSDS.2017100102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W242572763","https://openalex.org/W1150480256","https://openalex.org/W1543868471","https://openalex.org/W1550181012","https://openalex.org/W1554253427","https://openalex.org/W1665332082","https://openalex.org/W1958983172","https://openalex.org/W1976751049","https://openalex.org/W1982679354","https://openalex.org/W1984947418","https://openalex.org/W1985093013","https://openalex.org/W1985690171","https://openalex.org/W1986021671","https://openalex.org/W1986735245","https://openalex.org/W1988050849","https://openalex.org/W1996942841","https://openalex.org/W2001749998","https://openalex.org/W2013587720","https://openalex.org/W2020909146","https://openalex.org/W2030637738","https://openalex.org/W2036634567","https://openalex.org/W2045563521","https://openalex.org/W2045907900","https://openalex.org/W2052299306","https://openalex.org/W2067089386","https://openalex.org/W2070629130","https://openalex.org/W2070818909","https://openalex.org/W2079615115","https://openalex.org/W2082216817","https://openalex.org/W2086272312","https://openalex.org/W2089996359","https://openalex.org/W2090552208","https://openalex.org/W2101870661","https://openalex.org/W2127866966","https://openalex.org/W2128767846","https://openalex.org/W2129375743","https://openalex.org/W2132743748","https://openalex.org/W2136573752","https://openalex.org/W2143263668","https://openalex.org/W2159306398","https://openalex.org/W2385893399","https://openalex.org/W2553423018","https://openalex.org/W3121501521","https://openalex.org/W3125449341","https://openalex.org/W3151176709","https://openalex.org/W4236523229","https://openalex.org/W4237092326","https://openalex.org/W4299094297","https://openalex.org/W4301352023"],"related_works":["https://openalex.org/W2137225583","https://openalex.org/W1984191672","https://openalex.org/W2167126078","https://openalex.org/W2040689793","https://openalex.org/W1997130844","https://openalex.org/W4250719734","https://openalex.org/W1965287366","https://openalex.org/W4251541326","https://openalex.org/W2890271766","https://openalex.org/W2109595325"],"abstract_inverted_index":{"The":[0,80,99,153],"most":[1],"fundamental":[2],"problem":[3],"currently":[4],"associated":[5],"with":[6,164],"structural":[7],"equation":[8],"modeling":[9],"employing":[10],"the":[11,42,51,111,138],"partial":[12,113],"least":[13,114],"squares":[14,115],"method":[15],"is":[16,58,82,124,156],"that":[17,33,91],"it":[18],"does":[19],"not":[20],"properly":[21],"account":[22],"for":[23],"measurement":[24,95,129],"error,":[25],"which":[26,108],"often":[27,83],"leads":[28],"to":[29,36,105,128,160],"path":[30,88],"coefficient":[31],"estimates":[32],"asymptotically":[34],"converge":[35],"values":[37],"of":[38,53,63,77,84,133,137],"lower":[39],"magnitude":[40],"than":[41],"true":[43],"values.":[44],"This":[45],"attenuation":[46],"phenomenon":[47],"affects":[48],"applications":[49],"in":[50,59,66,89,122,126,149],"field":[52],"business":[54],"data":[55],"analytics;":[56],"and":[57,131,147,158,167],"fact":[60],"a":[61,102],"characteristic":[62],"composite-based":[64],"models":[65,90],"general,":[67],"where":[68],"latent":[69],"variables":[70],"are":[71,140],"modeled":[72],"as":[73],"exact":[74],"linear":[75],"combinations":[76],"their":[78],"indicators.":[79],"underestimation":[81],"around":[85],"10%":[86],"per":[87],"meet":[92],"generally":[93,162],"accepted":[94],"quality":[96],"assessment":[97],"criteria.":[98],"authors":[100],"propose":[101],"numeric":[103],"solution":[104,139,155],"this":[106],"problem,":[107],"they":[109],"call":[110],"factor-based":[112],"regression":[116],"(FPLSR)":[117],"algorithm,":[118],"whereby":[119],"variation":[120],"lost":[121],"composites":[123],"restored":[125],"proportion":[127],"error":[130],"amount":[132],"attenuation.":[134],"Six":[135],"variations":[136],"developed":[141],"based":[142],"on":[143],"different":[144],"reliability":[145],"measures,":[146],"contrasted":[148],"Monte":[150],"Carlo":[151],"simulations.":[152],"authors'":[154],"nonparametric":[157],"seems":[159],"perform":[161],"well":[163],"small":[165],"samples":[166],"severely":[168],"non-normal":[169],"data.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-09-25T00:00:00"}