{"id":"https://openalex.org/W3161245405","doi":"https://doi.org/10.3390/sym13050887","title":"Exact Likelihood Inference for a Competing Risks Model with Generalized Type II Progressive Hybrid Censored Exponential Data","display_name":"Exact Likelihood Inference for a Competing Risks Model with Generalized Type II Progressive Hybrid Censored Exponential Data","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3161245405","doi":"https://doi.org/10.3390/sym13050887","mag":"3161245405"},"language":"en","primary_location":{"id":"doi:10.3390/sym13050887","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13050887","pdf_url":"https://www.mdpi.com/2073-8994/13/5/887/pdf?version=1621331467","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/13/5/887/pdf?version=1621331467","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014674208","display_name":"Subin Cho","orcid":"https://orcid.org/0000-0002-6363-6052"},"institutions":[{"id":"https://openalex.org/I9323808","display_name":"Daegu University","ror":"https://ror.org/01zqccq48","country_code":"KR","type":"education","lineage":["https://openalex.org/I9323808"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Subin Cho","raw_affiliation_strings":["Department of Statistics, Daegu University, Gyeongsan 38453, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Daegu University, Gyeongsan 38453, Korea","institution_ids":["https://openalex.org/I9323808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101460125","display_name":"Kyeongjun Lee","orcid":"https://orcid.org/0000-0002-0754-5172"},"institutions":[{"id":"https://openalex.org/I9323808","display_name":"Daegu University","ror":"https://ror.org/01zqccq48","country_code":"KR","type":"education","lineage":["https://openalex.org/I9323808"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyeongjun Lee","raw_affiliation_strings":["Division of Mathematics and Big Data Science, Daegu University, Gyeongsan 38453, Korea"],"affiliations":[{"raw_affiliation_string":"Division of Mathematics and Big Data Science, Daegu University, Gyeongsan 38453, Korea","institution_ids":["https://openalex.org/I9323808"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101460125"],"corresponding_institution_ids":["https://openalex.org/I9323808"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.8559,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86853994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"13","issue":"5","first_page":"887","last_page":"887"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.988099992275238,"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":0.9775999784469604,"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/censoring","display_name":"Censoring (clinical trials)","score":0.784095048904419},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.6113758683204651},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5919814705848694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5813307166099548},{"id":"https://openalex.org/keywords/order-statistic","display_name":"Order statistic","score":0.5536308884620667},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5025813579559326},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.46491390466690063},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.45608752965927124},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3687499761581421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2897907793521881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08393192291259766}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.784095048904419},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.6113758683204651},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5919814705848694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5813307166099548},{"id":"https://openalex.org/C44082924","wikidata":"https://www.wikidata.org/wiki/Q1767128","display_name":"Order statistic","level":2,"score":0.5536308884620667},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5025813579559326},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.46491390466690063},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.45608752965927124},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3687499761581421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2897907793521881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08393192291259766},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym13050887","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13050887","pdf_url":"https://www.mdpi.com/2073-8994/13/5/887/pdf?version=1621331467","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f7e6f728beda472b8952c8598cb60096","is_oa":true,"landing_page_url":"https://doaj.org/article/f7e6f728beda472b8952c8598cb60096","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 13, Iss 5, p 887 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/13/5/887/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym13050887","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym13050887","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13050887","pdf_url":"https://www.mdpi.com/2073-8994/13/5/887/pdf?version=1621331467","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3461387423","display_name":null,"funder_award_id":"Daegu University Research Grant, 2019","funder_id":"https://openalex.org/F4320321343","funder_display_name":"Daegu University"}],"funders":[{"id":"https://openalex.org/F4320321343","display_name":"Daegu University","ror":"https://ror.org/01zqccq48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3161245405.pdf","grobid_xml":"https://content.openalex.org/works/W3161245405.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1751235655","https://openalex.org/W1980315411","https://openalex.org/W1991567646","https://openalex.org/W2080755778","https://openalex.org/W2109533003","https://openalex.org/W2730142450","https://openalex.org/W2902368183","https://openalex.org/W3000561553","https://openalex.org/W3021375436","https://openalex.org/W3023273102","https://openalex.org/W3041305277","https://openalex.org/W3084254303","https://openalex.org/W3091188967","https://openalex.org/W3092958155","https://openalex.org/W3109324049","https://openalex.org/W3130689475"],"related_works":["https://openalex.org/W2031865835","https://openalex.org/W2085667044","https://openalex.org/W645139937","https://openalex.org/W1965900207","https://openalex.org/W2372701824","https://openalex.org/W2387672662","https://openalex.org/W2359873637","https://openalex.org/W2141971189","https://openalex.org/W1969503705","https://openalex.org/W2041982655"],"abstract_inverted_index":{"In":[0,50],"many":[1],"situations":[2],"of":[3,10,48,86,90,108,124],"survival":[4],"and":[5,32,82],"reliability":[6],"test,":[7],"the":[8,13,44,75,87,106,109,114,121],"withdrawal":[9],"units":[11],"from":[12],"test":[14],"is":[15,35,102,126],"pre-planned":[16],"in":[17],"order":[18],"to":[19,20,29,104],"free":[21],"up":[22],"testing":[23],"facilities":[24],"for":[25,43,57],"other":[26],"tests,":[27],"or":[28],"save":[30],"cost":[31],"time.":[33],"It":[34],"known":[36],"that":[37,120],"several":[38],"risk":[39],"factors":[40],"(RiFs)":[41],"compete":[42],"immediate":[45],"failure":[46],"cause":[47],"items.":[49],"this":[51],"paper,":[52],"we":[53],"derive":[54,74],"an":[55],"inference":[56],"a":[58,64],"competing":[59],"risks":[60],"model":[61],"(CompRiM)":[62],"with":[63,96],"generalized":[65],"type":[66],"II":[67],"progressive":[68],"hybrid":[69],"censoring":[70],"scheme":[71],"(GeTy2PrHCS).":[72],"We":[73],"conditional":[76,122],"moment":[77],"generating":[78],"functions":[79],"(CondMgfs),":[80],"distributions":[81],"confidence":[83],"interval":[84],"(ConfI)":[85],"scale":[88],"parameters":[89],"exponential":[91],"distribution":[92],"(ExDist)":[93],"under":[94],"GeTy2PrHCS":[95],"CompRiM.":[97],"A":[98],"real":[99],"data":[100],"set":[101],"analysed":[103],"illustrate":[105],"validity":[107],"method":[110],"developed":[111],"here.":[112],"From":[113],"data,":[115],"it":[116],"can":[117],"be":[118],"seen":[119],"PDFs":[123],"MLEs":[125],"almost":[127],"symmetrical.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
