{"id":"https://openalex.org/W3118120900","doi":"https://doi.org/10.1080/03610918.2020.1861293","title":"Bayesian sampling plan for the exponential distribution with generalized Type - II hybrid censoring scheme","display_name":"Bayesian sampling plan for the exponential distribution with generalized Type - II hybrid censoring scheme","publication_year":2020,"publication_date":"2020-12-24","ids":{"openalex":"https://openalex.org/W3118120900","doi":"https://doi.org/10.1080/03610918.2020.1861293","mag":"3118120900"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2020.1861293","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1861293","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/A5050156078","display_name":"Deepak Prajapati","orcid":"https://orcid.org/0000-0002-6719-8416"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deepak Prajapati","raw_affiliation_strings":["Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083487265","display_name":"Sharmishtha Mitra","orcid":"https://orcid.org/0000-0002-4939-8473"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sharmishtha Mitra","raw_affiliation_strings":["Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049715298","display_name":"Debasis Kundu","orcid":"https://orcid.org/0000-0002-9141-422X"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debasis Kundu","raw_affiliation_strings":["Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050156078"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":1.2958,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82888616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"52","issue":"2","first_page":"533","last_page":"556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9750999808311462,"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/T10391","display_name":"Healthcare Policy and Management","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.8550783395767212},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.6027568578720093},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5896148085594177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5695407390594482},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5297262072563171},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.5253164768218994},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5228695869445801},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.47156307101249695},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.4505971074104309},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.447451114654541},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4369814693927765},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3750823736190796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32853618264198303},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0796080231666565}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8550783395767212},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.6027568578720093},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5896148085594177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5695407390594482},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5297262072563171},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.5253164768218994},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5228695869445801},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.47156307101249695},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.4505971074104309},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.447451114654541},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4369814693927765},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3750823736190796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32853618264198303},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0796080231666565},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2020.1861293","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1861293","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":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1502658396","https://openalex.org/W1598242135","https://openalex.org/W1998859299","https://openalex.org/W2003114898","https://openalex.org/W2025525711","https://openalex.org/W2027737251","https://openalex.org/W2031801984","https://openalex.org/W2032870565","https://openalex.org/W2033870816","https://openalex.org/W2052776147","https://openalex.org/W2062814759","https://openalex.org/W2065134325","https://openalex.org/W2074088896","https://openalex.org/W2075368558","https://openalex.org/W2076416181","https://openalex.org/W2077766130","https://openalex.org/W2100121706","https://openalex.org/W2167666647","https://openalex.org/W2377437991","https://openalex.org/W2460777814","https://openalex.org/W2550701641","https://openalex.org/W2962768587","https://openalex.org/W2963249688","https://openalex.org/W3196620053"],"related_works":["https://openalex.org/W1516206434","https://openalex.org/W3197025302","https://openalex.org/W2390528314","https://openalex.org/W1702197373","https://openalex.org/W3183939650","https://openalex.org/W1503638780","https://openalex.org/W2376407731","https://openalex.org/W2086032574","https://openalex.org/W1987638982","https://openalex.org/W1679830183"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,28,102],"decision-theoretic":[4],"approach":[5,84],"is":[6,36,49,62,85],"used":[7,37],"to":[8,38,41,87,120],"obtain":[9,109],"the":[10,16,45,53,57,65,69,89,110,122,125],"Bayesian":[11],"sampling":[12],"plan":[13],"(BSP)":[14],"for":[15,77,92],"generalized":[17],"Type-II":[18],"hybrid":[19],"censoring":[20],"scheme":[21],"when":[22],"lifetimes":[23],"of":[24,56,68,124],"sampled":[25],"units":[26],"follow":[27],"one-parameter":[29],"exponential":[30],"distribution.":[31],"An":[32],"efficient":[33],"loss":[34,80,95,106],"function":[35,72,107],"decide":[39],"whether":[40],"accept":[42],"or":[43],"reject":[44],"batch.":[46],"The":[47],"BSP":[48,91,112,127],"obtained":[50,75],"by":[51],"constructing":[52],"closed":[54,66],"form":[55,67],"Bayes":[58,70],"decision":[59,71],"function.":[60,81,96],"It":[61],"observed":[63],"that":[64],"cannot":[73],"be":[74],"analytically":[76],"any":[78],"arbitrary":[79,94],"A":[82],"numerical":[83,115],"proposed":[86],"determine":[88],"optimum":[90,111,126],"an":[93],"To":[97],"illustrate":[98],"this,":[99],"we":[100],"consider":[101],"higher":[103],"degree":[104],"polynomial":[105],"and":[108],"numerically.":[113],"Some":[114],"studies":[116],"have":[117],"been":[118],"conducted":[119],"check":[121],"performance":[123],"in":[128],"different":[129],"cases.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}