{"id":"https://openalex.org/W3140302198","doi":"https://doi.org/10.1109/wsc48552.2020.9383930","title":"The Ease of Fitting but Futility of Testing a Nonstationary Poisson Processes from One Sample Path","display_name":"The Ease of Fitting but Futility of Testing a Nonstationary Poisson Processes from One Sample Path","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3140302198","doi":"https://doi.org/10.1109/wsc48552.2020.9383930","mag":"3140302198"},"language":"en","primary_location":{"id":"doi:10.1109/wsc48552.2020.9383930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9383930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5026731126","display_name":"Barry L. Nelson","orcid":"https://orcid.org/0000-0002-1325-2624"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Barry L. Nelson","raw_affiliation_strings":["Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057011822","display_name":"Lawrence M. Leemis","orcid":"https://orcid.org/0000-0001-9071-985X"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence M. Leemis","raw_affiliation_strings":["William & Mary, Williamsburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"William & Mary, Williamsburg, VA, USA","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026731126"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.5085,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74149322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"266","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9977999925613403,"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/sequence","display_name":"Sequence (biology)","score":0.7283448576927185},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6924033164978027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6395936012268066},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6320983171463013},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5898810625076294},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5881845355033875},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.5645008087158203},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5596409440040588},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5338906645774841},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5087960362434387},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32210999727249146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2839530110359192},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2693958282470703},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10685482621192932},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10651320219039917},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.10590717196464539}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7283448576927185},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6924033164978027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6395936012268066},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6320983171463013},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5898810625076294},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5881845355033875},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.5645008087158203},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5596409440040588},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5338906645774841},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5087960362434387},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32210999727249146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2839530110359192},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2693958282470703},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10685482621192932},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10651320219039917},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.10590717196464539},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc48552.2020.9383930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9383930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1995231830","https://openalex.org/W2000051228","https://openalex.org/W2004499014","https://openalex.org/W2039698234","https://openalex.org/W2129301067","https://openalex.org/W2130433141","https://openalex.org/W2139055942","https://openalex.org/W2322524800","https://openalex.org/W2480492758","https://openalex.org/W2797008194","https://openalex.org/W2973048073","https://openalex.org/W4302377426"],"related_works":["https://openalex.org/W4243663106","https://openalex.org/W1978359496","https://openalex.org/W4366563794","https://openalex.org/W2084538642","https://openalex.org/W4236668082","https://openalex.org/W2387184232","https://openalex.org/W1979678609","https://openalex.org/W2884303440","https://openalex.org/W3149607936","https://openalex.org/W2967705515"],"abstract_inverted_index":{"The":[0],"nonstationary":[1],"Poisson":[2],"process":[3,100],"(NSPP)":[4],"is":[5,34,62,124],"a":[6,22,69,103,122,130],"workhorse":[7],"tool":[8],"for":[9,36,56,117],"modeling":[10],"and":[11],"simulating":[12],"arrival":[13,26,39,73],"processes":[14],"with":[15],"time-dependent":[16],"rates.":[17],"In":[18,64],"many":[19],"applications":[20],"only":[21,68,91],"single":[23,70],"sequence":[24,71],"of":[25,45,72,88,97,105],"times":[27],"are":[28,75],"observed.":[29],"While":[30],"one":[31,78],"sample":[32],"path":[33],"sufficient":[35],"estimating":[37],"the":[38,46,59,86,98,110,115],"rate":[40,43],"or":[41,102],"integrated":[42],"function":[44],"process-as":[47],"we":[48],"illustrate":[49],"in":[50,58,129],"this":[51],"paper-we":[52],"show":[53],"that":[54],"testing":[55,109],"Poissonness,":[57],"general":[60],"case,":[61],"futile.":[63],"other":[65],"words,":[66],"when":[67,120],"data":[74],"observed":[76],"then":[77],"can":[79,90],"fit":[80],"an":[81,95],"NSPP":[82],"to":[83,126],"it,":[84],"but":[85],"choice":[87],"\"NSPP\"":[89],"be":[92],"justified":[93],"by":[94,108],"understanding":[96],"underlying":[99],"physics,":[101],"leap":[104],"faith,":[106],"not":[107],"data.":[111],"This":[112],"result":[113],"suggests":[114],"need":[116],"sensitivity":[118],"analysis":[119],"such":[121],"model":[123],"used":[125],"generate":[127],"arrivals":[128],"simulation.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}