{"id":"https://openalex.org/W4236889273","doi":"https://doi.org/10.1109/wsc.2018.8632332","title":"MISE-OPTIMAL GROUPING OF POINT-PROCESS DATA WITH A CONSTANT DISPERSION RATIO","display_name":"MISE-OPTIMAL GROUPING OF POINT-PROCESS DATA WITH A CONSTANT DISPERSION RATIO","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W4236889273","doi":"https://doi.org/10.1109/wsc.2018.8632332"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2018.8632332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2018.8632332","pdf_url":null,"source":{"id":"https://openalex.org/S4363607834","display_name":"2018 Winter Simulation 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":"2018 Winter Simulation 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/A5054115875","display_name":"Huifen Chen","orcid":"https://orcid.org/0000-0001-8273-9295"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Huifen Chen","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Chung-Yuan University, Taoyuan, TAIWAN"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Chung-Yuan University, Taoyuan, TAIWAN","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108486148","display_name":"Bruce W. Schmeiser","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Schmeiser","raw_affiliation_strings":["School of Industrial Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054115875"],"corresponding_institution_ids":["https://openalex.org/I151221077"],"apc_list":null,"apc_paid":null,"fwci":0.1541,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58774038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1563","last_page":"1574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.5167999863624573,"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/T10320","display_name":"Neural Networks and Applications","score":0.5167999863624573,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.8989363312721252},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.7683721780776978},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7582716941833496},{"id":"https://openalex.org/keywords/constant-function","display_name":"Constant function","score":0.6960934996604919},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.629006028175354},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6171494722366333},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5697712898254395},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.522586464881897},{"id":"https://openalex.org/keywords/dispersion","display_name":"Dispersion (optics)","score":0.44669175148010254},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.373348206281662},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36509695649147034},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2952706217765808},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.23911833763122559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.23622635006904602}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.8989363312721252},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.7683721780776978},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7582716941833496},{"id":"https://openalex.org/C153658351","wikidata":"https://www.wikidata.org/wiki/Q746264","display_name":"Constant function","level":3,"score":0.6960934996604919},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.629006028175354},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6171494722366333},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5697712898254395},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.522586464881897},{"id":"https://openalex.org/C177562468","wikidata":"https://www.wikidata.org/wiki/Q182893","display_name":"Dispersion (optics)","level":2,"score":0.44669175148010254},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.373348206281662},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36509695649147034},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2952706217765808},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.23911833763122559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23622635006904602},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2018.8632332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2018.8632332","pdf_url":null,"source":{"id":"https://openalex.org/S4363607834","display_name":"2018 Winter Simulation 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":"2018 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2051018371","https://openalex.org/W2888635693","https://openalex.org/W2048747447","https://openalex.org/W1966076396","https://openalex.org/W2040445660","https://openalex.org/W2004238570","https://openalex.org/W2912913353","https://openalex.org/W2141091868","https://openalex.org/W2606964411","https://openalex.org/W1994752097"],"abstract_inverted_index":{"Given":[0],"a":[1,90],"set":[2],"of":[3,44,76,87,92,99,117],"point-process":[4],"event":[5,22],"times":[6,23],"with":[7],"constant":[8],"dispersion":[9],"ratio,":[10],"we":[11,63],"are":[12],"interested":[13],"in":[14,33,115],"estimating":[15],"the":[16,21,37,53,68,73,84,93],"rate":[17,40,61],"function":[18,41,71,80,91],"by":[19],"grouping":[20],"into":[24,83],"count":[25],"data":[26],"from":[27],"equal-width":[28],"time":[29],"intervals.":[30,77],"We":[31],"group":[32],"order":[34],"to":[35],"smooth":[36],"resulting":[38],"piecewise-constant":[39,60],"using":[42],"one":[43,113],"our":[45,104],"two":[46,65,105],"existing":[47],"methods:":[48],"I-SMOOTH":[49],"and":[50,96,110],"MNO-PQRS.":[51],"Using":[52],"mean":[54],"integrated":[55],"squared":[56],"error":[57],"(MISE)":[58],"for":[59],"functions,":[62],"create":[64],"estimators;":[66],"minimizing":[67],"estimated":[69],"MISE":[70,79,119],"yields":[72],"chosen":[74],"number":[75,86,98],"The":[78],"provides":[81],"insights":[82],"optimal":[85],"intervals":[88],"as":[89],"rate-function":[94],"shape":[95],"expected":[97],"events.":[100],"Across":[101],"several":[102],"examples,":[103],"number-of-intervals":[106],"estimators":[107],"perform":[108],"well":[109],"similarly;":[111],"nevertheless,":[112],"dominates":[114],"terms":[116],"realized":[118],"value.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
