{"id":"https://openalex.org/W4280545446","doi":"https://doi.org/10.1080/03610918.2021.2008437","title":"Generalized exponential distribution with interval-censored data and time dependent covariate","display_name":"Generalized exponential distribution with interval-censored data and time dependent covariate","publication_year":2022,"publication_date":"2022-05-18","ids":{"openalex":"https://openalex.org/W4280545446","doi":"https://doi.org/10.1080/03610918.2021.2008437"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2021.2008437","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.2008437","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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":"Communications in Statistics - Simulation and Computation","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/A5065158178","display_name":"Hussein Ali Al-Hakeem","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hussein Ali Al-Hakeem","raw_affiliation_strings":["Institute for Mathematical Research, UPM, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Institute for Mathematical Research, UPM, Selangor, Malaysia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056073009","display_name":"Jayanthi Arasan","orcid":"https://orcid.org/0000-0003-1805-9601"},"institutions":[{"id":"https://openalex.org/I188524465","display_name":"University of Selangor","ror":"https://ror.org/03j4n8s31","country_code":"MY","type":"education","lineage":["https://openalex.org/I188524465"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Jayanthi Arasan","raw_affiliation_strings":["Faculty of Science, Department of Mathematics, UPM, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Department of Mathematics, UPM, Selangor, Malaysia","institution_ids":["https://openalex.org/I188524465"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006139807","display_name":"Mohd Shafie Bin Mustafa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohd Shafie Bin Mustafa","raw_affiliation_strings":["Institute for Mathematical Research, UPM, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Institute for Mathematical Research, UPM, Selangor, Malaysia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006482177","display_name":"Lim Fong Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I188524465","display_name":"University of Selangor","ror":"https://ror.org/03j4n8s31","country_code":"MY","type":"education","lineage":["https://openalex.org/I188524465"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Lim Fong Peng","raw_affiliation_strings":["Faculty of Science, Department of Mathematics, UPM, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Department of Mathematics, UPM, Selangor, Malaysia","institution_ids":["https://openalex.org/I188524465"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065158178"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2431,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55119252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"52","issue":"12","first_page":"6149","last_page":"6159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9757999777793884,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.963699996471405,"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":0.8432536721229553},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.7924457788467407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6495449542999268},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5876572728157043},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.5589771270751953},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.4863293766975403},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4838827848434448},{"id":"https://openalex.org/keywords/interval-estimation","display_name":"Interval estimation","score":0.42573511600494385},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.42023220658302307},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.414508581161499}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.8432536721229553},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7924457788467407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6495449542999268},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5876572728157043},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.5589771270751953},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.4863293766975403},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4838827848434448},{"id":"https://openalex.org/C205167067","wikidata":"https://www.wikidata.org/wiki/Q3300636","display_name":"Interval estimation","level":3,"score":0.42573511600494385},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.42023220658302307},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.414508581161499},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2021.2008437","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.2008437","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1496753898","https://openalex.org/W1972422602","https://openalex.org/W2002460529","https://openalex.org/W2009167066","https://openalex.org/W2020716875","https://openalex.org/W2051057544","https://openalex.org/W2103704320","https://openalex.org/W2170202134","https://openalex.org/W2516121288","https://openalex.org/W2732331885","https://openalex.org/W3147894994"],"related_works":["https://openalex.org/W2593369667","https://openalex.org/W1533280182","https://openalex.org/W4229849575","https://openalex.org/W2026632944","https://openalex.org/W866792792","https://openalex.org/W4390974640","https://openalex.org/W2184138484","https://openalex.org/W2391895177","https://openalex.org/W1975401047","https://openalex.org/W4321749504"],"abstract_inverted_index":{"This":[0,53],"study":[1,44,54],"will":[2,55],"improve":[3],"the":[4,7,18,47,57,106,111,119],"performance":[5],"of":[6,20,76,105],"Generalized":[8],"Exponential":[9],"Distribution":[10],"(GED)":[11],"by":[12],"incorporating":[13],"time-dependent":[14,67],"covariates":[15,68,72],"(TD)":[16],"in":[17,27,74,113,121],"presence":[19],"interval-censored":[21],"data.":[22],"Interval-censored":[23],"data":[24],"usually":[25],"arises":[26],"clinical":[28],"and":[29,70,82,93,102,116],"epidemiological":[30],"studies":[31],"where":[32],"lifetime":[33],"is":[34],"only":[35],"known":[36],"to":[37],"fall":[38],"within":[39],"an":[40],"interval.":[41],"Moreover,":[42],"this":[43,51],"concentrates":[45],"on":[46],"parameters":[48],"estimation":[49,60],"for":[50,62],"distribution.":[52],"compare":[56],"maximum":[58],"likelihood":[59],"(MLE)":[61],"two":[63],"distinct":[64],"models,":[65],"namely":[66],"model":[69,73],"time-independent":[71],"terms":[75],"their":[77],"bias,":[78,100],"standard":[79],"error":[80,86],"(SE)":[81],"root":[83],"mean":[84],"square":[85],"(RMSE)":[87],"at":[88],"various":[89],"attendance":[90,114],"probability":[91,115],"(AP)":[92],"sample":[94,122],"sizes.":[95],"The":[96],"results":[97],"indicate":[98],"that":[99],"SE":[101],"RMSE":[103],"values":[104],"parameter":[107],"estimates":[108],"increase":[109,112,120],"with":[110,118],"decrease":[117],"size.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
