{"id":"https://openalex.org/W4388233198","doi":"https://doi.org/10.1080/00401706.2023.2277711","title":"A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data","display_name":"A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data","publication_year":2023,"publication_date":"2023-11-02","ids":{"openalex":"https://openalex.org/W4388233198","doi":"https://doi.org/10.1080/00401706.2023.2277711"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2023.2277711","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2023.2277711","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/A5003553150","display_name":"Suk Joo Bae","orcid":"https://orcid.org/0000-0002-9938-7406"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suk Joo Bae","raw_affiliation_strings":["Department of Industrial Engineering, Hanyang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009822505","display_name":"Byeong Min Mun","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeong Min Mun","raw_affiliation_strings":["Samsung Display Co. Ltd, Asan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Display Co. Ltd, Asan, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100671241","display_name":"Xiaoyan Zhu","orcid":"https://orcid.org/0000-0002-1574-8762"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyan Zhu","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1574-8762","affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100671241"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.3083,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6365519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"66","issue":"2","first_page":"253","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9988999962806702,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.963100016117096,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.734150230884552},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.668938934803009},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6247378587722778},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5322185754776001},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5260160565376282},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.5055298805236816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49319547414779663},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4489521086215973},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.41307640075683594},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.41301074624061584},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.4115489423274994},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.3978746831417084},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3703521490097046},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3554549813270569},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3445037305355072},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16303327679634094},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13355067372322083}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.734150230884552},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.668938934803009},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6247378587722778},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5322185754776001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5260160565376282},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.5055298805236816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49319547414779663},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4489521086215973},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.41307640075683594},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.41301074624061584},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.4115489423274994},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.3978746831417084},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3703521490097046},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3554549813270569},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3445037305355072},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16303327679634094},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13355067372322083},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.2023.2277711","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2023.2277711","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":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W13039199","https://openalex.org/W81951624","https://openalex.org/W199266547","https://openalex.org/W1613586930","https://openalex.org/W1973872091","https://openalex.org/W1975770532","https://openalex.org/W1986705681","https://openalex.org/W1995880999","https://openalex.org/W2009641913","https://openalex.org/W2028429555","https://openalex.org/W2036720243","https://openalex.org/W2049633694","https://openalex.org/W2053742104","https://openalex.org/W2059526973","https://openalex.org/W2068331431","https://openalex.org/W2068868161","https://openalex.org/W2072634211","https://openalex.org/W2085309210","https://openalex.org/W2087235954","https://openalex.org/W2110863526","https://openalex.org/W2118502261","https://openalex.org/W2120575292","https://openalex.org/W2125154424","https://openalex.org/W2142635246","https://openalex.org/W2145126557","https://openalex.org/W2168175751","https://openalex.org/W2199718967","https://openalex.org/W2333781627","https://openalex.org/W2462462151","https://openalex.org/W2612695672","https://openalex.org/W2749016643","https://openalex.org/W3104732956","https://openalex.org/W3128524583","https://openalex.org/W4205941121","https://openalex.org/W4242360587","https://openalex.org/W4249847691","https://openalex.org/W4300126076","https://openalex.org/W4301861531","https://openalex.org/W4384298801","https://openalex.org/W6632022884","https://openalex.org/W6632727158"],"related_works":["https://openalex.org/W3032945164","https://openalex.org/W2057612738","https://openalex.org/W1978153144","https://openalex.org/W102848802","https://openalex.org/W1976188970","https://openalex.org/W2982058819","https://openalex.org/W2130734797","https://openalex.org/W3176361882","https://openalex.org/W2122958477","https://openalex.org/W2025556230"],"abstract_inverted_index":{"In":[0,29],"some":[1],"practical":[2],"circumstances,":[3,31],"data":[4,14,86],"are":[5,165],"recorded":[6],"after":[7,23],"the":[8,38,41,51,54,69,116,123,131,135,152,155,159,180],"systems":[9,60,192],"have":[10],"begun":[11],"operations,":[12],"and":[13,46,82,137,158,170,188],"collection":[15],"is":[16,148],"stopped":[17],"at":[18],"a":[19,24,93,98,142],"predetermined":[20,25],"time":[21],"or":[22,72],"number":[26,43],"of":[27,33,40,44,53,75,151,154,161,179],"failures.":[28],"such":[30],"incompleteness":[32],"various":[34,174],"types":[35],"exists":[36],"in":[37,68],"aspect":[39],"missing":[42],"failures":[45],"their":[47,162],"occurrence":[48],"times":[49],"beyond":[50],"duration":[52],"pilot":[55],"study.":[56],"Additionally,":[57],"multiple":[58,88,190],"repairable":[59,89,191],"may":[61],"present":[62],"system-to-system":[63],"variability":[64],"caused":[65],"by":[66],"differences":[67],"operating":[70,127],"environments":[71],"working":[73],"loads":[74],"individual":[76],"systems.":[77,112],"With":[78],"respect":[79],"to":[80,186],"left-truncated":[81,136,187],"right-censored":[83,138,189],"recurrent":[84,139],"failure":[85,140],"from":[87],"systems,":[90],"we":[91],"propose":[92],"reliability":[94,194],"model":[95,101,106,119,132,156,183],"based":[96],"on":[97],"proportional":[99,117,181],"intensity":[100,118,182],"with":[102,184],"frailty.":[103],"The":[104],"frailty":[105,185],"explicitly":[107],"models":[108],"unobserved":[109],"heterogeneity":[110,124],"among":[111],"Covariates":[113],"incorporated":[114],"into":[115],"additionally":[120],"account":[121],"for":[122,134,193],"between":[125],"different":[126],"conditions.":[128],"To":[129],"estimate":[130],"parameters":[133,157],"data,":[141],"Monte":[143],"Carlo":[144],"expectation":[145],"maximization":[146],"algorithm":[147],"proposed.":[149],"Details":[150],"estimation":[153],"construction":[160],"confidence":[163],"intervals":[164],"examined.":[166],"A":[167],"real-world":[168],"example":[169],"simulation":[171],"studies":[172],"under":[173],"scenarios":[175],"show":[176],"prominent":[177],"applications":[178],"prediction.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
