{"id":"https://openalex.org/W2142912999","doi":"https://doi.org/10.1109/wsc.2003.1261452","title":"A wavelet-based spectral method for steady-state simulation analysis","display_name":"A wavelet-based spectral method for steady-state simulation analysis","publication_year":2004,"publication_date":"2004-05-06","ids":{"openalex":"https://openalex.org/W2142912999","doi":"https://doi.org/10.1109/wsc.2003.1261452","mag":"2142912999"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2003.1261452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)","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/A5108950930","display_name":"E.K. Lada","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"E.K. Lada","raw_affiliation_strings":["Graduate Program in Operations Research, North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Operations Research, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101401505","display_name":"James R. Wilson","orcid":"https://orcid.org/0000-0002-6255-4485"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.R. Wilson","raw_affiliation_strings":["Graduate Program in Operations Research, North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Operations Research, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089149672","display_name":"Natalie M. Steiger","orcid":null},"institutions":[{"id":"https://openalex.org/I7947594","display_name":"University of Maine","ror":"https://ror.org/01adr0w49","country_code":"US","type":"education","lineage":["https://openalex.org/I2802397601","https://openalex.org/I7947594"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N.M. Steiger","raw_affiliation_strings":["Maine Business School, University of Maine, Orono, ME, USA"],"affiliations":[{"raw_affiliation_string":"Maine Business School, University of Maine, Orono, ME, USA","institution_ids":["https://openalex.org/I7947594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108950930"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":8.5582,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.97763761,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"422","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9932000041007996,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9932000041007996,"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/T11236","display_name":"Control Systems and Identification","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9829999804496765,"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":0.7316222190856934},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6302462816238403},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5864453315734863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5270029902458191},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5105377435684204},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.48699861764907837},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43647849559783936},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4234461784362793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4227885603904724},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36571991443634033},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3172401189804077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13599345088005066}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7316222190856934},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6302462816238403},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5864453315734863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5270029902458191},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5105377435684204},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.48699861764907837},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43647849559783936},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4234461784362793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4227885603904724},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36571991443634033},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3172401189804077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13599345088005066},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2003.1261452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1512216594","https://openalex.org/W1976761149","https://openalex.org/W1984085628","https://openalex.org/W1985190666","https://openalex.org/W2015416689","https://openalex.org/W2051316645","https://openalex.org/W2102650396","https://openalex.org/W2143304716","https://openalex.org/W2168745915","https://openalex.org/W2518853543","https://openalex.org/W4295332281","https://openalex.org/W6726652421","https://openalex.org/W6998704550"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W2382174632","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":{"We":[0],"develop":[1],"an":[2,9,41],"automated":[3],"wavelet-based":[4],"spectral":[5],"method":[6],"for":[7,92],"constructing":[8,93],"approximate":[10],"confidence":[11],"interval":[12],"on":[13,47,105],"the":[14,36,48,51,59,65,71,77,81,85,98],"steady-state":[15,66,99],"mean":[16,100],"of":[17,50,70,84,97,121],"a":[18,27,31,89,94],"simulation":[19],"output":[20,129],"process.":[21,45,74],"This":[22],"procedure,":[23],"called":[24],"WASSP,":[25],"determines":[26],"batch":[28,38,52,60,86],"size":[29],"and":[30,63],"warm-up":[32],"period":[33],"beyond":[34],"which":[35],"computed":[37],"means":[39,61,87],"form":[40],"approximately":[42],"stationary":[43],"Gaussian":[44],"Based":[46],"log-smoothed-periodogram":[49],"means,":[53],"WASSP":[54,75],"uses":[55],"wavelets":[56],"to":[57],"estimate":[58],"log-spectrum":[62],"ultimately":[64],"variance":[67],"constant":[68],"(SSVC)":[69],"original":[72],"(unbatched)":[73],"combines":[76],"SSVC":[78],"estimator":[79,96],"with":[80,126],"grand":[82],"average":[83],"in":[88,124],"sequential":[90],"procedure":[91],"confidence-interval":[95],"that":[101],"satisfies":[102],"user-specified":[103],"requirements":[104],"absolute":[106],"or":[107],"relative":[108],"precision":[109],"as":[110,112],"well":[111],"coverage":[113],"probability.":[114],"An":[115],"extensive":[116],"performance":[117],"evaluation":[118],"provides":[119],"evidence":[120],"WASSP's":[122],"robustness":[123],"comparison":[125],"some":[127],"other":[128],"analysis":[130],"methods.":[131]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}