{"id":"https://openalex.org/W2102029057","doi":"https://doi.org/10.1177/003754979306000408","title":"Use of Computer Graphics in Fitting Statistical Distribution Functions To Data Representing Random Events","display_name":"Use of Computer Graphics in Fitting Statistical Distribution Functions To Data Representing Random Events","publication_year":1993,"publication_date":"1993-04-01","ids":{"openalex":"https://openalex.org/W2102029057","doi":"https://doi.org/10.1177/003754979306000408","mag":"2102029057"},"language":"en","primary_location":{"id":"doi:10.1177/003754979306000408","is_oa":false,"landing_page_url":"https://doi.org/10.1177/003754979306000408","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","raw_type":"journal-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/A5088029926","display_name":"Byron S. Gottfried","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Byron S. Gottfried","raw_affiliation_strings":["Department of industrial Engineering University of Pittsburgh Pittsburgh, Pennsylvania 15261","Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261"],"affiliations":[{"raw_affiliation_string":"Department of industrial Engineering University of Pittsburgh Pittsburgh, Pennsylvania 15261","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088029926"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18423445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"60","issue":"4","first_page":"281","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.8141000270843506,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.8141000270843506,"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"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.7325000166893005,"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/statistical-graphics","display_name":"Statistical graphics","score":0.7173781991004944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050362825393677},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.6881330609321594},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.6837441921234131},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.47485804557800293},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4726007580757141},{"id":"https://openalex.org/keywords/graphical-display","display_name":"Graphical display","score":0.42745858430862427},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.41394370794296265},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.413648784160614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41073113679885864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33983147144317627},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20254021883010864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1592816412448883},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.06604495644569397}],"concepts":[{"id":"https://openalex.org/C28883458","wikidata":"https://www.wikidata.org/wiki/Q3427422","display_name":"Statistical graphics","level":3,"score":0.7173781991004944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050362825393677},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.6881330609321594},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.6837441921234131},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.47485804557800293},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4726007580757141},{"id":"https://openalex.org/C2984927552","wikidata":"https://www.wikidata.org/wiki/Q845734","display_name":"Graphical display","level":2,"score":0.42745858430862427},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.41394370794296265},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.413648784160614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41073113679885864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33983147144317627},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20254021883010864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1592816412448883},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.06604495644569397},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/003754979306000408","is_oa":false,"landing_page_url":"https://doi.org/10.1177/003754979306000408","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1565124072","https://openalex.org/W2750877131","https://openalex.org/W2995702573","https://openalex.org/W3112566432"],"related_works":["https://openalex.org/W3123468496","https://openalex.org/W1831628149","https://openalex.org/W3021846689","https://openalex.org/W2109986081","https://openalex.org/W2069020086","https://openalex.org/W1646774167","https://openalex.org/W2374811398","https://openalex.org/W4249923250","https://openalex.org/W2037466581","https://openalex.org/W3110957329"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,14,34,44,54,87,93],"manner":[4],"in":[5,33,70],"which":[6],"a":[7,48],"windows-oriented,":[8],"graphical":[9,61,89,104],"user":[10,90],"interface":[11],"can":[12,30,98],"facilitate":[13],"fitting":[15],"of":[16,36],"statistical":[17],"distribution":[18,41,49],"functions":[19,42],"to":[20,43,83],"data":[21,32,45,55],"representing":[22],"random":[23],"events.":[24],"A":[25],"multi":[26],"featured":[27],"program":[28,79],"that":[29,51],"display":[31],"form":[35],"histo":[37],"grams,":[38],"fit":[39],"specified":[40],"and":[46,58,69,97],"determine":[47],"function":[50],"best":[52],"fits":[53],"is":[56],"described":[57],"illustrated":[59],"with":[60,86],"examples.":[62],"The":[63,78],"results":[64,94],"are":[65,75,95],"displayed":[66],"both":[67],"graphically":[68],"tabular":[71],"form.":[72],"Additional":[73],"features":[74],"also":[76],"described.":[77],"has":[80],"been":[81],"written":[82],"be":[84,99],"compatible":[85],"SIMAN":[88],"interface,":[91],"though":[92],"general":[96],"applied":[100],"within":[101],"any":[102],"particular":[103],"environment.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}