{"id":"https://openalex.org/W2058785148","doi":"https://doi.org/10.1145/1147224.1147228","title":"The semi-regenerative method of simulation output analysis","display_name":"The semi-regenerative method of simulation output analysis","publication_year":2006,"publication_date":"2006-07-01","ids":{"openalex":"https://openalex.org/W2058785148","doi":"https://doi.org/10.1145/1147224.1147228","mag":"2058785148"},"language":"en","primary_location":{"id":"doi:10.1145/1147224.1147228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1147224.1147228","pdf_url":null,"source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","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/A5049257879","display_name":"James M. Calvin","orcid":"https://orcid.org/0000-0001-5304-3336"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"James M. Calvin","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ","[New Jersey Institute of Technology, Newark, NJ]"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"[New Jersey Institute of Technology, Newark, NJ]","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019114258","display_name":"Peter W. Glynn","orcid":"https://orcid.org/0000-0003-1370-6638"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter W. Glynn","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001888075","display_name":"Marvin K. Nakayama","orcid":"https://orcid.org/0000-0003-1503-373X"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marvin K. Nakayama","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ","[New Jersey Institute of Technology, Newark, NJ]"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"[New Jersey Institute of Technology, Newark, NJ]","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049257879"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":0.8741,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77347175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"3","first_page":"280","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","score":0.9997000098228455,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9987000226974487,"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":0.9879000186920166,"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/estimator","display_name":"Estimator","score":0.8248213529586792},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.742484986782074},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6899983882904053},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.6782403588294983},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.577794075012207},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.524369478225708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4980142116546631},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4838675260543823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4789634048938751},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.47241440415382385},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4517669677734375},{"id":"https://openalex.org/keywords/central-limit-theorem","display_name":"Central limit theorem","score":0.4371469020843506},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4341742694377899},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3791554570198059},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26030904054641724},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.2315407395362854},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09935104846954346},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.09752801060676575}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8248213529586792},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.742484986782074},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6899983882904053},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.6782403588294983},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.577794075012207},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.524369478225708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4980142116546631},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4838675260543823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4789634048938751},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.47241440415382385},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4517669677734375},{"id":"https://openalex.org/C166785042","wikidata":"https://www.wikidata.org/wiki/Q190391","display_name":"Central limit theorem","level":2,"score":0.4371469020843506},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4341742694377899},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3791554570198059},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26030904054641724},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2315407395362854},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09935104846954346},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.09752801060676575},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1147224.1147228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1147224.1147228","pdf_url":null,"source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.9.4495","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.4495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stanford.edu/dept/MSandE/faculty/glynn/pdfs/semireg4_2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W221126409","https://openalex.org/W1547044784","https://openalex.org/W1561424154","https://openalex.org/W1965786092","https://openalex.org/W1970720528","https://openalex.org/W1971572301","https://openalex.org/W1979603813","https://openalex.org/W1981718884","https://openalex.org/W1994930649","https://openalex.org/W2001350107","https://openalex.org/W2003624153","https://openalex.org/W2006036383","https://openalex.org/W2010317587","https://openalex.org/W2010762666","https://openalex.org/W2013935096","https://openalex.org/W2029185001","https://openalex.org/W2046765929","https://openalex.org/W2056099894","https://openalex.org/W2075379212","https://openalex.org/W2087018957","https://openalex.org/W2087686387","https://openalex.org/W2091176971","https://openalex.org/W2094952501","https://openalex.org/W2097609861","https://openalex.org/W2105099705","https://openalex.org/W2112134062","https://openalex.org/W2115793826","https://openalex.org/W2117219141","https://openalex.org/W2126299694","https://openalex.org/W2131195275","https://openalex.org/W2133135196","https://openalex.org/W2133363097","https://openalex.org/W2137306058","https://openalex.org/W2146416787","https://openalex.org/W2154584674","https://openalex.org/W2168099541","https://openalex.org/W2293878396","https://openalex.org/W2323009482","https://openalex.org/W2797333853","https://openalex.org/W2802739963","https://openalex.org/W3026026050","https://openalex.org/W3145241921","https://openalex.org/W4253991977","https://openalex.org/W4285719527","https://openalex.org/W4299533062","https://openalex.org/W4302114916","https://openalex.org/W6986868657"],"related_works":["https://openalex.org/W2157409199","https://openalex.org/W2022918713","https://openalex.org/W2113115437","https://openalex.org/W2017052259","https://openalex.org/W2058785148","https://openalex.org/W2907189803","https://openalex.org/W2165012282","https://openalex.org/W2951267644","https://openalex.org/W4287367937","https://openalex.org/W3123451800"],"abstract_inverted_index":{"We":[0,34,62,108],"develop":[1,75],"a":[2,13,23,50,68,81,84,91,110],"class":[3],"of":[4,10,12,25,38,52,55,83,93],"techniques":[5],"for":[6,114],"analyzing":[7],"the":[8,17,20,26,36,89],"output":[9],"simulations":[11],"semi-regenerative":[14,18],"process.":[15],"Called":[16],"method,":[19,28],"approach":[21],"is":[22],"generalization":[24],"regenerative":[27],"and":[29,58,67,88,104],"it":[30],"can":[31,120],"increase":[32],"efficiency.":[33],"consider":[35],"estimation":[37],"various":[39],"performance":[40],"measures,":[41],"including":[42],"steady-state":[43,56],"means,":[44,57],"expected":[45],"cumulative":[46],"reward":[47],"until":[48],"hitting":[49],"set":[51],"states,":[53],"derivatives":[54],"time-average":[59],"variance":[60],"constants.":[61],"also":[63],"discuss":[64],"importance":[65],"sampling":[66],"bias-reduction":[69],"technique.":[70],"In":[71],"each":[72,115],"case,":[73],"we":[74],"two":[76],"estimators:":[77],"one":[78],"based":[79],"on":[80],"simulation":[82],"single":[85],"sample":[86],"path,":[87],"other":[90],"type":[92],"stratified":[94],"estimator":[95,116],"in":[96,101],"which":[97],"trajectories":[98],"are":[99],"generated":[100],"an":[102],"independent":[103],"identically":[105],"distributed":[106],"manner.":[107],"establish":[109],"central":[111],"limit":[112],"theorem":[113],"so":[117],"confidence":[118],"intervals":[119],"be":[121],"constructed.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}