{"id":"https://openalex.org/W1483713687","doi":"https://doi.org/10.1023/a:1019173206509","title":"Bayesian analysis of M/Er/1 and M/H_k/1 queues","display_name":"Bayesian analysis of M/Er/1 and M/H_k/1 queues","publication_year":1998,"publication_date":"1998-12-01","ids":{"openalex":"https://openalex.org/W1483713687","doi":"https://doi.org/10.1023/a:1019173206509","mag":"1483713687"},"language":"en","primary_location":{"id":"doi:10.1023/a:1019173206509","is_oa":false,"landing_page_url":"https://doi.org/10.1023/a:1019173206509","pdf_url":null,"source":{"id":"https://openalex.org/S148503350","display_name":"Queueing Systems","issn_l":"0257-0130","issn":["0257-0130","1572-9443"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Queueing Systems","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/A5065634152","display_name":"David R\u0131\u0301os Insua","orcid":"https://orcid.org/0000-0002-5748-9658"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David Rios Insua","raw_affiliation_strings":["Universidad Rey Juan Carlos, Madrid, Spain","Universidad Rey Juan Carlos, Madrid, Spain E-mail: drios@escet.urjc.es#TAB#"],"affiliations":[{"raw_affiliation_string":"Universidad Rey Juan Carlos, Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]},{"raw_affiliation_string":"Universidad Rey Juan Carlos, Madrid, Spain E-mail: drios@escet.urjc.es#TAB#","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009648271","display_name":"Michael P. Wiper","orcid":"https://orcid.org/0000-0002-6316-397X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Michael Wiper","raw_affiliation_strings":["Universidad Carlos III, Madrid, Spain","Universidad Carlos III, Madrid, Spain E-mail: mwiper@est-econ.uc3m.es#TAB#"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Universidad Carlos III, Madrid, Spain E-mail: mwiper@est-econ.uc3m.es#TAB#","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043871498","display_name":"Fabrizio Ruggeri","orcid":"https://orcid.org/0000-0002-7655-6254"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabrizio Ruggeri","raw_affiliation_strings":["CNR-IAMI, Milano, Italy","CNR-IAMI, Milano, Italy E-mail: fabrizio@iami.mi.cnr.it#TAB#"],"affiliations":[{"raw_affiliation_string":"CNR-IAMI, Milano, Italy","institution_ids":[]},{"raw_affiliation_string":"CNR-IAMI, Milano, Italy E-mail: fabrizio@iami.mi.cnr.it#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065634152"],"corresponding_institution_ids":["https://openalex.org/I182083151"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":2.1977,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.88465167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"30","issue":"3-4","first_page":"289","last_page":"308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.996399998664856,"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6648240685462952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5675569772720337},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5643360018730164},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.5626952052116394},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.4590649902820587},{"id":"https://openalex.org/keywords/erlang","display_name":"Erlang (programming language)","score":0.4574006199836731},{"id":"https://openalex.org/keywords/erlang-distribution","display_name":"Erlang distribution","score":0.43372824788093567},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.420646071434021},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41363629698753357},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3941674828529358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3313354253768921},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1829007863998413},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14330613613128662},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.11421021819114685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06632053852081299},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06349724531173706}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6648240685462952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5675569772720337},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5643360018730164},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.5626952052116394},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.4590649902820587},{"id":"https://openalex.org/C82484044","wikidata":"https://www.wikidata.org/wiki/Q334879","display_name":"Erlang (programming language)","level":3,"score":0.4574006199836731},{"id":"https://openalex.org/C145437242","wikidata":"https://www.wikidata.org/wiki/Q762448","display_name":"Erlang distribution","level":3,"score":0.43372824788093567},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.420646071434021},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41363629698753357},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3941674828529358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3313354253768921},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1829007863998413},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14330613613128662},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.11421021819114685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06632053852081299},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06349724531173706},{"id":"https://openalex.org/C42383842","wikidata":"https://www.wikidata.org/wiki/Q193076","display_name":"Functional programming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1023/a:1019173206509","is_oa":false,"landing_page_url":"https://doi.org/10.1023/a:1019173206509","pdf_url":null,"source":{"id":"https://openalex.org/S148503350","display_name":"Queueing Systems","issn_l":"0257-0130","issn":["0257-0130","1572-9443"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Queueing Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322892","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W130037070","https://openalex.org/W1488022545","https://openalex.org/W1993299137","https://openalex.org/W2006043936","https://openalex.org/W2038885294","https://openalex.org/W2042982502","https://openalex.org/W2043750872","https://openalex.org/W2045656233","https://openalex.org/W2046376197","https://openalex.org/W2047077063","https://openalex.org/W2054997715","https://openalex.org/W2065317938","https://openalex.org/W2071668645","https://openalex.org/W2093512919","https://openalex.org/W2096878708","https://openalex.org/W2102862543","https://openalex.org/W2106706098","https://openalex.org/W2136796925","https://openalex.org/W2148839232","https://openalex.org/W2152917223","https://openalex.org/W2482329843","https://openalex.org/W2796377994","https://openalex.org/W3122858766","https://openalex.org/W4231099370","https://openalex.org/W4247690662","https://openalex.org/W4247985008","https://openalex.org/W4254411828","https://openalex.org/W4256665558"],"related_works":["https://openalex.org/W2594392289","https://openalex.org/W830184964","https://openalex.org/W4380886430","https://openalex.org/W2613997428","https://openalex.org/W2322385984","https://openalex.org/W4327524501","https://openalex.org/W1999178477","https://openalex.org/W4233259071","https://openalex.org/W2162800547","https://openalex.org/W2063143196"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2016-06-24T00:00:00"}