{"id":"https://openalex.org/W4254196677","doi":"https://doi.org/10.1109/wsc.2013.6721468","title":"Density estimation of simulation output using exponential epi-splines","display_name":"Density estimation of simulation output using exponential epi-splines","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W4254196677","doi":"https://doi.org/10.1109/wsc.2013.6721468"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2013.6721468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721468","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","raw_type":"proceedings-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/A5056067391","display_name":"Dashi I. Singham","orcid":"https://orcid.org/0000-0003-4201-4585"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dashi I. Singham","raw_affiliation_strings":["Department of Operations Research, Naval Postgraduate School, Monterey, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Operations Research, Naval Postgraduate School, Monterey, CA, USA","institution_ids":["https://openalex.org/I35364215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043616688","display_name":"Johannes \u00d8. R\u00f8yset","orcid":"https://orcid.org/0009-0003-3554-7305"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johannes O. Royset","raw_affiliation_strings":["Department of Operations Research, Naval Postgraduate School, Monterey, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Operations Research, Naval Postgraduate School, Monterey, CA, USA","institution_ids":["https://openalex.org/I35364215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045177923","display_name":"Roger J.\u2010B. Wets","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger J-B Wets","raw_affiliation_strings":["Department of Mathematics, University of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056067391"],"corresponding_institution_ids":["https://openalex.org/I35364215"],"apc_list":null,"apc_paid":null,"fwci":1.3946,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81767956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"755","last_page":"765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.998199999332428,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.998199999332428,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/unimodality","display_name":"Unimodality","score":0.8175027966499329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5774223208427429},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.5541107058525085},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5179261565208435},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.5092741250991821},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49182963371276855},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4828353524208069},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.46768811345100403},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.45606836676597595},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43877744674682617},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4304945170879364},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.41926848888397217},{"id":"https://openalex.org/keywords/sample-space","display_name":"Sample space","score":0.4162072539329529},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33725041151046753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3355069160461426},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18443718552589417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18019989132881165},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.1197400689125061},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07939812541007996}],"concepts":[{"id":"https://openalex.org/C21596040","wikidata":"https://www.wikidata.org/wiki/Q2896771","display_name":"Unimodality","level":2,"score":0.8175027966499329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774223208427429},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.5541107058525085},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5179261565208435},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.5092741250991821},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49182963371276855},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4828353524208069},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.46768811345100403},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.45606836676597595},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43877744674682617},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4304945170879364},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.41926848888397217},{"id":"https://openalex.org/C100279318","wikidata":"https://www.wikidata.org/wiki/Q467440","display_name":"Sample space","level":2,"score":0.4162072539329529},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33725041151046753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3355069160461426},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18443718552589417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18019989132881165},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.1197400689125061},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07939812541007996},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2013.6721468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721468","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1531010729","https://openalex.org/W1591637103","https://openalex.org/W2005547096","https://openalex.org/W2147315108","https://openalex.org/W2168034279","https://openalex.org/W3144030884","https://openalex.org/W3150130873"],"related_works":["https://openalex.org/W2037722894","https://openalex.org/W2069887321","https://openalex.org/W2182975604","https://openalex.org/W2002797541","https://openalex.org/W2058634352","https://openalex.org/W2093043381","https://openalex.org/W4256537608","https://openalex.org/W2142259463","https://openalex.org/W2131752993","https://openalex.org/W4246107347"],"abstract_inverted_index":{"The":[0],"density":[1,17,61],"of":[2,59,72,75,96,117],"stochastic":[3,97,108],"simulation":[4,87],"output":[5,94],"provides":[6],"more":[7],"information":[8,54,66],"on":[9,39,114],"system":[10],"performance":[11],"than":[12],"the":[13,57,70,73,115],"mean":[14],"alone.":[15],"However,":[16],"estimation":[18,36],"methods":[19],"may":[20,67],"require":[21],"large":[22],"sample":[23],"sizes":[24],"to":[25,45],"achieve":[26],"a":[27,76,105],"certain":[28],"accuracy":[29],"or":[30],"desired":[31],"structural":[32],"properties.":[33],"A":[34],"nonparametric":[35],"method":[37,92],"based":[38],"exponential":[40],"epi-splines":[41],"has":[42],"shown":[43],"promise":[44],"overcome":[46],"this":[47,91],"difficulty":[48],"by":[49],"incorporating":[50],"qualitative":[51],"and":[52,80,82,103],"quantitative":[53],"that":[55],"reduces":[56],"space":[58],"possible":[60],"estimates":[62],"substantially.":[63],"Such":[64],"`soft'":[65],"come":[68],"in":[69,86],"form":[71],"knowledge":[74],"non-negative":[77],"support,":[78],"unimodality,":[79],"monotonicity,":[81],"is":[83],"often":[84],"available":[85],"applications.":[88],"We":[89],"examine":[90],"for":[93,104],"analysis":[95],"systems":[98],"with":[99,107,111],"fixed":[100],"input":[101,109],"parameters,":[102,110],"model":[106],"an":[112],"emphasis":[113],"use":[116],"derivative":[118],"information.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
