乐胖代购免代理版

{"id":"https://openalex.org/W1989761257","doi":"https://doi.org/10.1080/03081070500201701","title":"Constructing imprecise probability distributions","display_name":"Constructing imprecise probability distributions","publication_year":2005,"publication_date":"2005-08-01","ids":{"openalex":"https://openalex.org/W1989761257","doi":"https://doi.org/10.1080/03081070500201701","mag":"1989761257"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1080/03081070500201701","pdf_url":null,"source":{"id":"https://openalex.org/S145553572","display_name":"International Journal of General Systems","issn_l":"0308-1079","issn":["0308-1079","1026-7492","1563-5104"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5033502730","display_name":"Igor Kozine","orcid":"https://orcid.org/0000-0002-9698-7211"},"institutions":[{"id":"https://openalex.org/I4210112235","display_name":"Nordic Laboratory for Luminescence Dating","ror":"https://ror.org/020hmha06","country_code":"DK","type":"facility","lineage":["https://openalex.org/I204337017","https://openalex.org/I4210112235","https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Igor O. Kozine","raw_affiliation_strings":["Risoe National Laboratory, Systems Analysis Department , P.O. Box 49 DK-4000, Roskilde, Denmark"],"affiliations":[{"raw_affiliation_string":"Risoe National Laboratory, Systems Analysis Department , P.O. Box 49 DK-4000, Roskilde, Denmark","institution_ids":["https://openalex.org/I4210112235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037096829","display_name":"Lev V. Utkin","orcid":"https://orcid.org/0000-0002-5637-1420"},"institutions":[{"id":"https://openalex.org/I4210129604","display_name":"Saint Petersburg State Forest Technical University","ror":"https://ror.org/034882z59","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210129604"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Lev V. Utkin","raw_affiliation_strings":["Department of Computer Science, Forest Technical Academy , St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Forest Technical Academy , St. Petersburg, Russia","institution_ids":["https://openalex.org/I4210129604"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.664,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":9,"citation_normalized_percentile":{"value":0.814103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":81},"biblio":{"volume":"34","issue":"4","first_page":"401","last_page":"408"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9899,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9899,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9864,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9823,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/sample-space","display_name":"Sample space","score":0.5701745},{"id":"https://openalex.org/keywords/imprecise-probability","display_name":"Imprecise probability","score":0.5458934}],"concepts":[{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.68085515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5984511},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.58811474},{"id":"https://openalex.org/C100279318","wikidata":"https://www.wikidata.org/wiki/Q467440","display_name":"Sample space","level":2,"score":0.5701745},{"id":"https://openalex.org/C130648207","wikidata":"https://www.wikidata.org/wiki/Q6007562","display_name":"Imprecise probability","level":3,"score":0.5458934},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.46449187},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.45408702},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4147308},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.37210718},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34086606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31638744},{"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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1080/03081070500201701","pdf_url":null,"source":{"id":"https://openalex.org/S145553572","display_name":"International Journal of General Systems","issn_l":"0308-1079","issn":["0308-1079","1026-7492","1563-5104"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6,"display_name":"Reduced inequalities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1710702117","https://openalex.org/W1968293352","https://openalex.org/W2005851928","https://openalex.org/W2020150753","https://openalex.org/W2037662824","https://openalex.org/W2048138718","https://openalex.org/W2132811257","https://openalex.org/W3159971645","https://openalex.org/W4210427261","https://openalex.org/W4388156124","https://openalex.org/W49349407"],"related_works":["https://openalex.org/W4235623166","https://openalex.org/W4213267843","https://openalex.org/W3102213005","https://openalex.org/W2883907152","https://openalex.org/W2753355162","https://openalex.org/W2168519368","https://openalex.org/W2084157359","https://openalex.org/W2036854414","https://openalex.org/W1980528650","https://openalex.org/W1526257359"],"abstract_inverted_index":{"In":[0],"this":[1],"current":[2],"paper":[3],"the":[4,11,36,49],"following":[5],"problems":[6],"are":[7],"addressed:":[8],"(1)":[9],"extending":[10],"knowledge":[12,37],"of":[13,23,38,41,55],"a":[14,24,39,56],"partially":[15],"known":[16],"probability":[17,32],"distribution":[18,33],"function":[19],"to":[20],"any":[21],"point":[22],"continuous":[25,58],"sample":[26],"space,":[27],"(2)":[28],"constructing":[29],"an":[30],"imprecise":[31],"based":[34],"on":[35],"set":[40],"credible":[42],"or":[43],"confidence":[44],"intervals,":[45],"and":[46,51],"(3)":[47],"computing":[48],"lower":[50],"upper":[52],"expected":[53],"values":[54],"random":[57],"variable.":[59],"An":[60],"example":[61],"is":[62],"provided.":[63]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1989761257","counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-03-24T09:55:24.242534","created_date":"2016-06-24"}