{"id":"https://openalex.org/W3043516782","doi":"https://doi.org/10.1109/rivf48685.2020.9140765","title":"A Method for Improvement the Parameter Estimation of Non-linear Regression in Growth Model to Predict Project Cost at Completion","display_name":"A Method for Improvement the Parameter Estimation of Non-linear Regression in Growth Model to Predict Project Cost at Completion","publication_year":2020,"publication_date":"2020-07-15","ids":{"openalex":"https://openalex.org/W3043516782","doi":"https://doi.org/10.1109/rivf48685.2020.9140765","mag":"3043516782"},"language":"en","primary_location":{"id":"doi:10.1109/rivf48685.2020.9140765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf48685.2020.9140765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-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/A5057073070","display_name":"Quyet\u2010Thang Huynh","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Quyet-Thang Huynh","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019124318","display_name":"The-Anh Le","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"The-Anh Le","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077593563","display_name":"Thanh-Hung Nguyen","orcid":"https://orcid.org/0000-0001-6290-2841"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh-Hung Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020746809","display_name":"Nhat-Hai Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nhat-Hai Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041198493","display_name":"Duc-Hieu Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duc-Hieu Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057073070"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.5096,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72133696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9070000052452087,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/gompertz-function","display_name":"Gompertz function","score":0.9514074325561523},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.609169065952301},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5422128438949585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5313267111778259},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5130945444107056},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4773176610469818},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45429152250289917},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44329845905303955},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44111406803131104},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44103509187698364},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4348711669445038},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.42936909198760986},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4240124821662903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3857273459434509},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1674547791481018}],"concepts":[{"id":"https://openalex.org/C134463574","wikidata":"https://www.wikidata.org/wiki/Q1011785","display_name":"Gompertz function","level":2,"score":0.9514074325561523},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.609169065952301},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5422128438949585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5313267111778259},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5130945444107056},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4773176610469818},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45429152250289917},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44329845905303955},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44111406803131104},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44103509187698364},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4348711669445038},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.42936909198760986},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4240124821662903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3857273459434509},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1674547791481018},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf48685.2020.9140765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf48685.2020.9140765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1983625179","https://openalex.org/W1985687377","https://openalex.org/W2030402519","https://openalex.org/W2036837741","https://openalex.org/W2064063942","https://openalex.org/W2068561554","https://openalex.org/W2128677332","https://openalex.org/W2236623899","https://openalex.org/W2401819979","https://openalex.org/W2735978084","https://openalex.org/W6713061089"],"related_works":["https://openalex.org/W2469998461","https://openalex.org/W115737433","https://openalex.org/W1792977562","https://openalex.org/W2559632976","https://openalex.org/W3022462263","https://openalex.org/W1999485985","https://openalex.org/W3013768942","https://openalex.org/W3043516782","https://openalex.org/W2356108151","https://openalex.org/W63065332"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,35],"propose":[4],"a":[5,13,46],"comparison":[6],"between":[7],"existing":[8],"parameter":[9],"estimation":[10],"methods":[11,77],"of":[12,48,69,74,97],"nonlinear":[14,54],"regression-based":[15],"growth":[16,39],"model":[17,40,66],"to":[18,59],"forecast":[19],"project":[20],"duration":[21],"as":[22,24],"well":[23],"its":[25],"cost":[26],"at":[27],"completion.":[28],"To":[29],"analyze":[30],"and":[31,41,90,94],"perform":[32],"some":[33],"experiments,":[34],"used":[36],"the":[37,42,61,64,75,80,87,92,95],"Gompertz":[38,65],"dataset":[43],"comes":[44],"from":[45],"number":[47],"similar":[49],"previous":[50],"studies.":[51],"Two":[52],"other":[53],"models":[55],"were":[56],"also":[57,79],"applied":[58],"compare":[60],"results":[62],"with":[63],"in":[67,85],"terms":[68],"fitness-function":[70],"score.":[71],"The":[72],"performance":[73],"proposed":[76],"is":[78],"key":[81],"for":[82],"further":[83],"studies":[84],"fitting":[86],"S-":[88],"curve":[89],"predicting":[91],"Estimate-to-Complete":[93],"Estimate-at-Completion":[96],"certain":[98],"projects.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}