{"id":"https://openalex.org/W2558740615","doi":"https://doi.org/10.1080/03610918.2015.1043386","title":"Bayesian estimation of the change point in a gamma process using control chart","display_name":"Bayesian estimation of the change point in a gamma process using control chart","publication_year":2015,"publication_date":"2015-06-29","ids":{"openalex":"https://openalex.org/W2558740615","doi":"https://doi.org/10.1080/03610918.2015.1043386","mag":"2558740615"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1043386","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1043386","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/A5010879481","display_name":"M. Esmail Dehghan Monfared","orcid":"https://orcid.org/0000-0002-3855-6333"},"institutions":[{"id":"https://openalex.org/I90767664","display_name":"Persian Gulf University","ror":"https://ror.org/03n2mgj60","country_code":"IR","type":"education","lineage":["https://openalex.org/I90767664"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. Esmail Dehghan Monfared","raw_affiliation_strings":["Department of Statistics, Faculty of Sciences, Persian Gulf University, Bushehr, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Sciences, Persian Gulf University, Bushehr, Iran","institution_ids":["https://openalex.org/I90767664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003484215","display_name":"Fazlollah Lak","orcid":"https://orcid.org/0000-0002-9879-1693"},"institutions":[{"id":"https://openalex.org/I90767664","display_name":"Persian Gulf University","ror":"https://ror.org/03n2mgj60","country_code":"IR","type":"education","lineage":["https://openalex.org/I90767664"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Fazlollah Lak","raw_affiliation_strings":["Department of Statistics, Faculty of Sciences, Persian Gulf University, Bushehr, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Sciences, Persian Gulf University, Bushehr, Iran","institution_ids":["https://openalex.org/I90767664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003484215"],"corresponding_institution_ids":["https://openalex.org/I90767664"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24560184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"46","issue":"3","first_page":"2333","last_page":"2345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998999834060669,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9807000160217285,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9724000096321106,"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/estimator","display_name":"Estimator","score":0.6978955268859863},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6733750104904175},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.6414802670478821},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.6124710440635681},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.5999130010604858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5530751347541809},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5517032146453857},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5308602452278137},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.48972609639167786},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4887278079986572},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.4710550010204315},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4379953444004059},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4235790967941284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3887023329734802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3423243761062622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2750764787197113}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6978955268859863},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6733750104904175},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.6414802670478821},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.6124710440635681},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.5999130010604858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5530751347541809},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5517032146453857},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5308602452278137},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.48972609639167786},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4887278079986572},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.4710550010204315},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4379953444004059},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4235790967941284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3887023329734802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3423243761062622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2750764787197113},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1043386","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1043386","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":[{"id":"https://openalex.org/F4320328682","display_name":"Persian Gulf University","ror":"https://ror.org/03n2mgj60"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W85323704","https://openalex.org/W1989264208","https://openalex.org/W2030013724","https://openalex.org/W2034794402","https://openalex.org/W2047218776","https://openalex.org/W2070655900","https://openalex.org/W2095676247","https://openalex.org/W2098907863","https://openalex.org/W2101060735","https://openalex.org/W2157202423","https://openalex.org/W2403544910","https://openalex.org/W2473526392","https://openalex.org/W2793346385","https://openalex.org/W4249242153","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1976150099","https://openalex.org/W2181454722","https://openalex.org/W2135187896","https://openalex.org/W2734911114","https://openalex.org/W1957385413","https://openalex.org/W2964248559","https://openalex.org/W2369515845","https://openalex.org/W1991544742","https://openalex.org/W4297999382","https://openalex.org/W1836035522"],"abstract_inverted_index":{"The":[0,55,102],"process":[1,18,32,49,124],"personnel":[2],"always":[3],"seek":[4],"the":[5,9,13,17,23,27,37,59,65,71,106,110,120,123,128,137,140,144,150,155,161],"opportunity":[6],"to":[7,21,69,78],"improve":[8],"processes.":[10],"One":[11],"of":[12,30,100,122,139],"essential":[14],"steps":[15],"for":[16,42],"improvement":[19],"is":[20,95,113],"recognize":[22],"starting":[24],"time":[25,131],"or":[26,154],"change":[28,72,129,156],"point":[29,130,157],"a":[31,43,48,52,82,98],"disturbance":[33],"quickly.":[34],"Different":[35],"from":[36,160],"traditional":[38],"normally":[39],"distributed":[40],"assumption":[41],"process,":[44],"this":[45],"study":[46],"considers":[47],"that":[50,105],"follows":[51],"gamma":[53],"distribution.":[54],"proposed":[56],"approach":[57],"combines":[58],"commonly":[60],"used":[61],"control":[62],"chart":[63],"with":[64,86,109,143],"Bayesian":[66],"estimation":[67,89],"technique":[68],"estimate":[70],"point.":[73],"Two":[74],"Bayes":[75,107,141],"estimators":[76],"corresponding":[77],"an":[79],"informative":[80,111,145],"and":[81,116,126],"noninformative":[83],"prior":[84,112,146],"along":[85],"maximum":[87],"likelihood":[88],"(MLE)":[90],"are":[91,132],"considered.":[92],"Their":[93],"efficiency":[94,138],"compared":[96],"through":[97],"series":[99],"simulations.":[101],"results":[103],"show":[104],"estimator":[108,142],"more":[114,117],"accurate":[115],"precise":[118],"when":[119],"means":[121],"before":[125],"after":[127],"not":[133],"too":[134],"closed.":[135],"Additionally,":[136],"increases":[147,153],"as":[148],"either":[149],"sample":[151],"size":[152],"goes":[158],"away":[159],"origin.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}