{"id":"https://openalex.org/W2125213124","doi":"https://doi.org/10.1109/tr.2010.2055970","title":"A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures","display_name":"A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures","publication_year":2010,"publication_date":"2010-08-10","ids":{"openalex":"https://openalex.org/W2125213124","doi":"https://doi.org/10.1109/tr.2010.2055970","mag":"2125213124"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2010.2055970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2010.2055970","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","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/A5074948475","display_name":"Shuai Huang","orcid":"https://orcid.org/0000-0003-3054-5629"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shuai Huang","raw_affiliation_strings":["School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","School of Computing, Informatics, and Decision Systems, Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems, Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075012459","display_name":"Rong Pan","orcid":"https://orcid.org/0000-0001-5171-8248"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Pan","raw_affiliation_strings":["School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","School of Computing, Informatics, and Decision Systems, Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems, Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337072","display_name":"Jing Li","orcid":"https://orcid.org/0000-0003-2024-8663"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","School of Computing, Informatics, and Decision Systems, Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems, Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074948475"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.15201101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"59","issue":"4","first_page":"650","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9864000082015991,"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"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.7286694645881653},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6498117446899414},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.5758896470069885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188054442405701},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46171024441719055},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4583413600921631},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4527199864387512},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4309063255786896},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.42172670364379883},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4206802546977997},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.41777175664901733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38255608081817627},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37641963362693787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3004605174064636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20904314517974854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1997600793838501},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.19369712471961975}],"concepts":[{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.7286694645881653},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6498117446899414},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.5758896470069885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188054442405701},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46171024441719055},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4583413600921631},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4527199864387512},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4309063255786896},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.42172670364379883},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4206802546977997},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.41777175664901733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38255608081817627},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37641963362693787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3004605174064636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20904314517974854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1997600793838501},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.19369712471961975},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2010.2055970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2010.2055970","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1520501693","https://openalex.org/W1967211488","https://openalex.org/W1981100514","https://openalex.org/W1987224108","https://openalex.org/W1998782763","https://openalex.org/W2000751444","https://openalex.org/W2040576216","https://openalex.org/W2076600094","https://openalex.org/W2081561245","https://openalex.org/W2093816843","https://openalex.org/W2100753277","https://openalex.org/W2108742439","https://openalex.org/W2119662553","https://openalex.org/W2129301780","https://openalex.org/W2129905273","https://openalex.org/W2130388500","https://openalex.org/W2135966495","https://openalex.org/W2136065988","https://openalex.org/W2152173558","https://openalex.org/W2153228532","https://openalex.org/W2160872006","https://openalex.org/W2162366020","https://openalex.org/W2168473322","https://openalex.org/W2995946769","https://openalex.org/W4232933882","https://openalex.org/W4233014035","https://openalex.org/W4239027680","https://openalex.org/W4254021572","https://openalex.org/W6660604117"],"related_works":["https://openalex.org/W2473373438","https://openalex.org/W2368486525","https://openalex.org/W805531662","https://openalex.org/W2077224612","https://openalex.org/W1978153144","https://openalex.org/W84255947","https://openalex.org/W2153481672","https://openalex.org/W1512911331","https://openalex.org/W2120595071","https://openalex.org/W2371827284"],"abstract_inverted_index":{"Field":[0],"failure":[1,9,19,41,91],"data":[2,10,70],"often":[3],"exhibit":[4],"extra":[5],"heterogeneity":[6],"as":[7],"early":[8],"may":[11,24],"have":[12],"quite":[13],"different":[14],"distribution":[15,78],"characteristics":[16],"from":[17,26],"later":[18],"data.":[20],"These":[21],"infant":[22],"failures":[23],"come":[25],"a":[27,49,84],"defective":[28],"subpopulation":[29],"instead":[30],"of":[31],"the":[32,46,54,98,107,110,122],"normal":[33],"product":[34],"population.":[35],"Many":[36],"exiting":[37],"methods":[38,66],"for":[39,48,67,105],"field":[40,90,114],"analyses":[42],"focus":[43],"only":[44],"on":[45,89],"estimation":[47],"hypothesized":[50],"mixture":[51,74,85,111],"model,":[52],"while":[53],"model":[55,75],"identification":[56],"is":[57,80],"ignored.":[58],"This":[59],"paper":[60],"aims":[61],"to":[62,118],"develop":[63],"efficient,":[64],"accurate":[65],"both":[68],"detecting":[69],"heterogeneity,":[71],"and":[72,97,120],"estimating":[73,106],"parameters.":[76],"Mixture":[77],"detection":[79,86],"achieved":[81],"by":[82],"applying":[83],"plot":[87],"(MDP)":[88],"observations.":[92],"The":[93],"penalized":[94],"likelihood":[95],"method,":[96],"expectation-maximization":[99],"(EM)":[100],"algorithm":[101],"are":[102,116],"then":[103],"used":[104],"components":[108],"in":[109],"model.":[112],"Two":[113],"datasets":[115],"employed":[117],"demonstrate":[119],"validate":[121],"proposed":[123],"approach.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}