{"id":"https://openalex.org/W4411599994","doi":"https://doi.org/10.1109/access.2025.3582851","title":"Bayesian and Non-Bayesian Inference for the Trigonometric Extended Rayleigh-Weibull Model Under Progressively Censored Data","display_name":"Bayesian and Non-Bayesian Inference for the Trigonometric Extended Rayleigh-Weibull Model Under Progressively Censored Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411599994","doi":"https://doi.org/10.1109/access.2025.3582851"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3582851","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3582851","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3582851","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076710709","display_name":"Ahmed R. El\u2010Saeed","orcid":"https://orcid.org/0000-0001-8303-1782"},"institutions":[{"id":"https://openalex.org/I4210132304","display_name":"Obour Institutes","ror":"https://ror.org/046ksv218","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210132304"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed R. El-Saeed","raw_affiliation_strings":["Department of Basic Sciences, Obour High Institute for Management and Informatics, Al Obour City, Al Qalyubia, Egypt","Department of Basic Sciences, Obour High Institute for Management &#x0026; Informatics, Al Qalyubia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Basic Sciences, Obour High Institute for Management and Informatics, Al Obour City, Al Qalyubia, Egypt","institution_ids":["https://openalex.org/I4210132304"]},{"raw_affiliation_string":"Department of Basic Sciences, Obour High Institute for Management &#x0026; Informatics, Al Qalyubia, Egypt","institution_ids":["https://openalex.org/I4210132304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029121877","display_name":"Ibrahim Elbatal","orcid":"https://orcid.org/0000-0003-3479-5967"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ibrahim Elbatal","raw_affiliation_strings":["Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013570032","display_name":"Ehab M. Almetwally","orcid":"https://orcid.org/0000-0002-3888-1275"},"institutions":[{"id":"https://openalex.org/I882248123","display_name":"Delta University for Science and Technology","ror":"https://ror.org/0481xaz04","country_code":"EG","type":"education","lineage":["https://openalex.org/I882248123"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ehab M. Almetwally","raw_affiliation_strings":["Faculty of Business Administration, Delta University for Science and Technology, Gamasa, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Business Administration, Delta University for Science and Technology, Gamasa, Egypt","institution_ids":["https://openalex.org/I882248123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026468035","display_name":"Mohammed Elgarhy","orcid":"https://orcid.org/0000-0002-1333-3862"},"institutions":[{"id":"https://openalex.org/I4210120363","display_name":"Higher Institute of Engineering","ror":"https://ror.org/02pyw9g57","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210120363"]},{"id":"https://openalex.org/I4210139959","display_name":"High Institute for Management Sciences","ror":"https://ror.org/04tcyer40","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210139959"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohammed Elgarhy","raw_affiliation_strings":["Department of Basic Sciences, Higher Institute of Administrative Sciences, Belbeis, Al-Sharkia, Egypt","Department of Basic Sciences, Higher Institute of Administrative Sciences, Belbeis, AlSharkia, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-1333-3862","affiliations":[{"raw_affiliation_string":"Department of Basic Sciences, Higher Institute of Administrative Sciences, Belbeis, Al-Sharkia, Egypt","institution_ids":["https://openalex.org/I4210120363"]},{"raw_affiliation_string":"Department of Basic Sciences, Higher Institute of Administrative Sciences, Belbeis, AlSharkia, Egypt","institution_ids":["https://openalex.org/I4210139959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13065221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"117043","last_page":"117064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9771000146865845,"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":0.9771000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.68927001953125},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6795428395271301},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.6053892374038696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5810463428497314},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5752955675125122},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.47195377945899963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4212411642074585},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41363561153411865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2928089499473572}],"concepts":[{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.68927001953125},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6795428395271301},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6053892374038696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810463428497314},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5752955675125122},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.47195377945899963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4212411642074585},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41363561153411865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2928089499473572}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3582851","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3582851","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e1196d2d77324e6aafb8a0a388ba6881","is_oa":true,"landing_page_url":"https://doaj.org/article/e1196d2d77324e6aafb8a0a388ba6881","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 117043-117064 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3582851","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3582851","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1965514245","https://openalex.org/W1991021098","https://openalex.org/W1991231530","https://openalex.org/W1996588625","https://openalex.org/W2003319773","https://openalex.org/W2017696952","https://openalex.org/W2068819339","https://openalex.org/W2099852087","https://openalex.org/W2103093984","https://openalex.org/W2118085505","https://openalex.org/W2143421694","https://openalex.org/W2215690741","https://openalex.org/W2473549009","https://openalex.org/W2481970566","https://openalex.org/W2486038092","https://openalex.org/W2571172586","https://openalex.org/W2969867901","https://openalex.org/W3016676080","https://openalex.org/W3017178592","https://openalex.org/W3035149569","https://openalex.org/W3044425750","https://openalex.org/W3108609090","https://openalex.org/W3129097143","https://openalex.org/W3135622002","https://openalex.org/W3136915426","https://openalex.org/W3160174700","https://openalex.org/W3165411605","https://openalex.org/W3174722666","https://openalex.org/W3188940911","https://openalex.org/W3209324087","https://openalex.org/W3209824335","https://openalex.org/W4210394693","https://openalex.org/W4229370121","https://openalex.org/W4233487331","https://openalex.org/W4250828386","https://openalex.org/W4255908372","https://openalex.org/W4286433455","https://openalex.org/W4384525594","https://openalex.org/W4399287921","https://openalex.org/W4409193198","https://openalex.org/W6604840860","https://openalex.org/W6713577279","https://openalex.org/W6766921217","https://openalex.org/W6779631089"],"related_works":["https://openalex.org/W2944091050","https://openalex.org/W2998817056","https://openalex.org/W4221107656","https://openalex.org/W2904258669","https://openalex.org/W2077878098","https://openalex.org/W4313815718","https://openalex.org/W1506744765","https://openalex.org/W996380913","https://openalex.org/W2024084279","https://openalex.org/W4225555917"],"abstract_inverted_index":{"In":[0],"this":[1,97],"paper,":[2],"a":[3,78,93],"new":[4],"extension":[5],"of":[6,28,88,96,151,175,181],"the":[7,12,24,45,56,86,89,101,108,113,128,139,144,152,162,173],"Rayleigh-Weibull":[8,14],"(RW)":[9],"model,":[10,16],"called":[11],"sine":[13,32],"(SRW)":[15],"is":[17,21,92,118,164],"proposed.":[18],"This":[19],"model":[20,40,47,91,163],"constructed":[22],"using":[23,120],"trigonometrically":[25],"generated":[26],"family":[27],"distributions":[29],"based":[30],"on":[31],"functions":[33],"and":[34,48,60,127,143,161,178],"involves":[35],"two":[36],"parameters.":[37],"The":[38,148],"SRW":[39,90],"provides":[41],"greater":[42],"flexibility":[43],"than":[44],"RW":[46],"several":[49],"other":[50],"well-known":[51],"statistical":[52,83],"models,":[53],"such":[54,137],"as":[55,138],"sine-Weibull,":[57],"exponential,":[58],"Weibull,":[59],"Rayleigh":[61],"distributions.":[62],"Its":[63],"hazard":[64],"rate":[65],"function":[66],"can":[67],"exhibit":[68],"various":[69,105],"shapes,":[70],"including":[71,107],"constant,":[72],"J-shaped,":[73],"or":[74],"increasing":[75],"forms.":[76],"Under":[77,112],"progressive":[79],"Type-II":[80],"censoring":[81],"scheme,":[82],"inference":[84],"for":[85],"parameters":[87],"central":[94],"focus":[95],"study.":[98],"To":[99],"estimate":[100],"parameters,":[102],"we":[103],"employ":[104],"methods,":[106],"Expectation-Maximization":[109],"(EM)":[110],"algorithm.":[111],"Bayesian":[114],"framework,":[115],"parameter":[116],"estimation":[117],"conducted":[119],"Markov":[121],"Chain":[122],"Monte":[123,158],"Carlo":[124,159],"(MCMC)":[125],"methods":[126],"Tierney-Kadane":[129],"approximation,":[130],"with":[131],"respect":[132],"to":[133,169],"different":[134],"loss":[135,142],"functions,":[136],"squared":[140],"error":[141],"linear":[145],"exponential":[146],"loss.":[147],"numerical":[149],"properties":[150],"proposed":[153],"estimators":[154],"are":[155],"assessed":[156],"through":[157],"simulations,":[160],"further":[165],"validated":[166],"by":[167],"application":[168],"real":[170],"datasets":[171],"from":[172],"fields":[174],"electrical":[176],"appliances":[177],"survival":[179],"times":[180],"breast":[182],"cancer":[183],"patients.":[184]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
