{"id":"https://openalex.org/W3141069026","doi":"https://doi.org/10.1109/wsc.2011.6147775","title":"Using Pearson Type IV and other cinderella distributions in simulation","display_name":"Using Pearson Type IV and other cinderella distributions in simulation","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W3141069026","doi":"https://doi.org/10.1109/wsc.2011.6147775","mag":"3141069026"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2011.6147775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6147775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101700559","display_name":"Russell Cheng","orcid":"https://orcid.org/0000-0001-7836-7820"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Russell Cheng","raw_affiliation_strings":["University of Southampton, Southampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southampton, Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101700559"],"corresponding_institution_ids":["https://openalex.org/I43439940"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.45593794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"1","issue":null,"first_page":"457","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9824000000953674,"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":0.9824000000953674,"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":0.9645000100135803,"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/T11720","display_name":"Probability and Risk Models","score":0.9496999979019165,"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/univariate","display_name":"Univariate","score":0.6656347513198853},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6401436924934387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6389206647872925},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.5190754532814026},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.4697974622249603},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4559387266635895},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4209863543510437},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3924141526222229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37539806962013245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2811414897441864},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23475715517997742},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.1845313012599945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14202815294265747}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6656347513198853},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6401436924934387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389206647872925},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.5190754532814026},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.4697974622249603},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4559387266635895},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4209863543510437},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3924141526222229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37539806962013245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2811414897441864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23475715517997742},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.1845313012599945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14202815294265747},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2011.6147775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6147775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.3004","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.3004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-sim.org/wsc11papers/040.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":15,"referenced_works":["https://openalex.org/W8717994","https://openalex.org/W1979593580","https://openalex.org/W1991567646","https://openalex.org/W2010015275","https://openalex.org/W2020179789","https://openalex.org/W2024353778","https://openalex.org/W2065375802","https://openalex.org/W2073832517","https://openalex.org/W2152828142","https://openalex.org/W2165112171","https://openalex.org/W2171074980","https://openalex.org/W3022255685","https://openalex.org/W3112566432","https://openalex.org/W4241780302","https://openalex.org/W4302083518"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W2911841387","https://openalex.org/W2803255289","https://openalex.org/W1512294453","https://openalex.org/W4309014492","https://openalex.org/W4284707331","https://openalex.org/W4289547104","https://openalex.org/W2498523525"],"abstract_inverted_index":{"Univariate":[0],"continuous":[1],"distributions":[2,41,76],"with":[3],"unbounded":[4,45],"range":[5,46],"of":[6,68,94,122,124],"variation":[7],"have":[8,43],"not":[9],"been":[10],"so":[11],"widely":[12],"used":[13],"in":[14,34,61,70,136,148],"simulation":[15],"as":[16,133],"those":[17],"that":[18,42,111],"are":[19,31,47,58,80,131,146],"bounded":[20],"(usually":[21],"to":[22,77,97,118],"the":[23,48,71,87,92,104,120,128],"left).":[24],"However":[25],"situations":[26],"do":[27],"occur":[28],"when":[29],"they":[30],"needed,":[32],"particularly":[33],"operations":[35],"research":[36],"and":[37,52,83,106],"financial":[38],"applications.":[39],"Two":[40,143],"such":[44],"Pearson":[49,88],"Type":[50,89],"IV":[51,90],"Johnson":[53],"SU":[54],"distributions.":[55,126],"Though":[56],"both":[57,81],"well":[59],"known":[60],"statistics,":[62],"there":[63],"is":[64],"still":[65],"a":[66,108],"lack":[67],"methods":[69],"literature":[72],"for":[73],"fitting":[74,109],"these":[75],"data":[78],"which":[79],"efficient":[82],"comprehensively":[84],"reliable.":[85],"Indeed":[86],"has":[91],"reputation":[93],"being":[95],"difficult":[96],"fit.":[98],"In":[99],"this":[100],"paper":[101],"we":[102],"identify":[103],"pitfalls":[105],"propose":[107],"method":[110],"avoids":[112],"them.":[113],"We":[114],"also":[115],"show":[116],"how":[117],"test":[119],"goodness":[121],"fit":[123],"estimated":[125],"All":[127],"procedures":[129],"described":[130,147],"included":[132],"VBA":[134],"code":[135],"an":[137],"accompanying":[138],"Excel":[139],"workbook":[140],"available":[141],"online.":[142],"numerical":[144],"examples":[145],"detail.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
