{"id":"https://openalex.org/W3192957353","doi":"https://doi.org/10.1080/03610918.2021.1908552","title":"Reliability inference for stress-strength model based on inverted exponential Rayleigh distribution under progressive Type-II censored data","display_name":"Reliability inference for stress-strength model based on inverted exponential Rayleigh distribution under progressive Type-II censored data","publication_year":2021,"publication_date":"2021-04-22","ids":{"openalex":"https://openalex.org/W3192957353","doi":"https://doi.org/10.1080/03610918.2021.1908552","mag":"3192957353"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2021.1908552","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.1908552","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/A5100551988","display_name":"Jin\u2019ge Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin\u2019ge Ma","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi\u2019an, P.R. China","School of Mathematics and Statistics, Xidian University, Xi'an, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456514","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0002-2600-5112"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Wang","raw_affiliation_strings":["School of Mathematics, Yunnan Normal University, Kunming, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Yunnan Normal University, Kunming, P.R. China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045365975","display_name":"Yogesh Mani Tripathi","orcid":"https://orcid.org/0000-0002-9687-6036"},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yogesh Mani Tripathi","raw_affiliation_strings":["Department of Mathematics, Indian Institute of Technology Patna, Bihta, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Indian Institute of Technology Patna, Bihta, India","institution_ids":["https://openalex.org/I132153292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110472942","display_name":"Manoj Kumar Rastogi","orcid":null},"institutions":[{"id":"https://openalex.org/I2534966","display_name":"Patna University","ror":"https://ror.org/04ysp6769","country_code":"IN","type":"education","lineage":["https://openalex.org/I2534966"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manoj Kumar Rastogi","raw_affiliation_strings":["Department of Statistics, Patna University, Patna, India"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Patna University, Patna, India","institution_ids":["https://openalex.org/I2534966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100456514"],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":null,"apc_paid":null,"fwci":3.072,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92865122,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"52","issue":"6","first_page":"2388","last_page":"2407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9905999898910522,"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"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9754999876022339,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7129555940628052},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.6065444350242615},{"id":"https://openalex.org/keywords/rayleigh-distribution","display_name":"Rayleigh distribution","score":0.566148042678833},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.5275611281394958},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5120652318000793},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5110102891921997},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5024211406707764},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4807562530040741},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4701659381389618},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.438424289226532},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.4213750958442688},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.260166198015213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.15663504600524902},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.08207198977470398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07826414704322815}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7129555940628052},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.6065444350242615},{"id":"https://openalex.org/C40940223","wikidata":"https://www.wikidata.org/wiki/Q637150","display_name":"Rayleigh distribution","level":3,"score":0.566148042678833},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.5275611281394958},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5120652318000793},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5110102891921997},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5024211406707764},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4807562530040741},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4701659381389618},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.438424289226532},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.4213750958442688},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.260166198015213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.15663504600524902},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.08207198977470398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07826414704322815},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2021.1908552","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.1908552","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":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1523095595","https://openalex.org/W1981335888","https://openalex.org/W1996279375","https://openalex.org/W2004247087","https://openalex.org/W2019044051","https://openalex.org/W2021949567","https://openalex.org/W2056026966","https://openalex.org/W2154761394","https://openalex.org/W2165112171","https://openalex.org/W2196048447","https://openalex.org/W2313520104","https://openalex.org/W2461737633","https://openalex.org/W2493671571","https://openalex.org/W2598725361","https://openalex.org/W2964136327","https://openalex.org/W4233162961","https://openalex.org/W4379284709"],"related_works":["https://openalex.org/W2067732275","https://openalex.org/W2903098718","https://openalex.org/W2083129711","https://openalex.org/W2044501009","https://openalex.org/W1514971776","https://openalex.org/W2089165037","https://openalex.org/W2146625955","https://openalex.org/W4200518464","https://openalex.org/W4226134799","https://openalex.org/W2010606295"],"abstract_inverted_index":{"In":[0,95],"this":[1],"paper,":[2],"stress-strength":[3,40],"model":[4],"is":[5,43,51,99],"studied":[6],"for":[7,70,75,101,121],"an":[8],"inverted":[9],"exponential":[10],"Rayleigh":[11],"distribution":[12,57],"(IERD)":[13],"when":[14,78],"the":[15,35,46,55,103],"latent":[16],"failure":[17],"times":[18],"are":[19,72,80,92,119],"progressively":[20],"Type-II":[21],"censored.":[22],"When":[23],"both":[24],"strength":[25,82,107],"and":[26,45,59,83,87,108,114],"stress":[27,84,109],"random":[28],"variables":[29],"follow":[30],"common":[31],"IERD":[32],"scale":[33],"parameters,":[34,85],"maximum":[36],"likelihood":[37,86],"estimate":[38],"of":[39,105],"reliability":[41],"(SSR)":[42],"established":[44],"associated":[47],"approximate":[48],"confidence":[49],"interval":[50],"also":[52,73,93],"constructed":[53],"using":[54],"asymptotic":[56],"theory":[58],"delta":[60],"method.":[61],"By":[62],"constructing":[63],"pivotal":[64,89],"quantities,":[65],"another":[66],"alternative":[67],"generalized":[68,88],"estimates":[69,91],"SSR":[71],"proposed":[74],"comparison.":[76],"Moreover,":[77],"there":[79],"arbitrary":[81],"based":[90],"presented.":[94],"addition,":[96],"testing":[97],"problem":[98],"gave":[100],"comparing":[102],"equality":[104],"different":[106],"parameters.":[110],"Finally,":[111],"simulation":[112],"study":[113],"a":[115],"real":[116],"data":[117],"example":[118],"provided":[120],"illustration.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}