{"id":"https://openalex.org/W4362585581","doi":"https://doi.org/10.1007/s40747-023-01026-2","title":"DUS-neutrosophic multivariate inverse Weibull distribution: properties and applications","display_name":"DUS-neutrosophic multivariate inverse Weibull distribution: properties and applications","publication_year":2023,"publication_date":"2023-04-01","ids":{"openalex":"https://openalex.org/W4362585581","doi":"https://doi.org/10.1007/s40747-023-01026-2"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01026-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01026-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01026-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01026-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053192579","display_name":"Marwa K. H. Hassan","orcid":"https://orcid.org/0000-0003-3730-7869"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Marwa K. H. Hassan","raw_affiliation_strings":["Department of Mathematics, Faculty of Education, Ain Shams University, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Faculty of Education, Ain Shams University, Cairo, Egypt","institution_ids":["https://openalex.org/I107720978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091275818","display_name":"Muhammad Aslam","orcid":"https://orcid.org/0000-0003-0644-1950"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Muhammad Aslam","raw_affiliation_strings":["Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091275818"],"corresponding_institution_ids":["https://openalex.org/I185163786"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.7307,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84772362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"9","issue":"5","first_page":"5679","last_page":"5691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9980999827384949,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9979000091552734,"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/T11564","display_name":"Mathematical Inequalities and Applications","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.8236225843429565},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6790215969085693},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6362977027893066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5622321367263794},{"id":"https://openalex.org/keywords/exponentiated-weibull-distribution","display_name":"Exponentiated Weibull distribution","score":0.435366690158844},{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.4243716895580292},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.362691193819046}],"concepts":[{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.8236225843429565},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6790215969085693},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6362977027893066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5622321367263794},{"id":"https://openalex.org/C95770405","wikidata":"https://www.wikidata.org/wiki/Q5421539","display_name":"Exponentiated Weibull distribution","level":3,"score":0.435366690158844},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.4243716895580292},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.362691193819046}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01026-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01026-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01026-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:510203e490084e8480b12413d89c694a","is_oa":true,"landing_page_url":"https://doaj.org/article/510203e490084e8480b12413d89c694a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5679-5691 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01026-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01026-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01026-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4362585581.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1854796760","https://openalex.org/W1953807684","https://openalex.org/W1973137995","https://openalex.org/W2016324042","https://openalex.org/W2070184378","https://openalex.org/W2090001193","https://openalex.org/W2169953206","https://openalex.org/W2487122920","https://openalex.org/W3039092803","https://openalex.org/W3161325682","https://openalex.org/W3195791881","https://openalex.org/W3199388981","https://openalex.org/W4220763710","https://openalex.org/W4226138704","https://openalex.org/W4304607001"],"related_works":["https://openalex.org/W2035890266","https://openalex.org/W2966939160","https://openalex.org/W3139234456","https://openalex.org/W3083898685","https://openalex.org/W91629956","https://openalex.org/W1525778882","https://openalex.org/W2939504033","https://openalex.org/W2184010448","https://openalex.org/W2002403689","https://openalex.org/W4244740547"],"abstract_inverted_index":{"Abstract":[0],"The":[1,135],"existing":[2,98,130],"DUS-multivariate":[3],"inverse":[4,28,56,93,114],"Weibull":[5,29,57,94,115],"distribution":[6,30,95,116],"under":[7,100,132],"classical":[8,101,133],"statistics":[9],"can":[10,32,138],"be":[11,33,139],"applied":[12],"when":[13,35],"all":[14],"observations":[15,37],"in":[16,38,44],"the":[17,36,39,62,69,78,86,89,97,104,110,129],"data":[18,40],"are":[19,41],"imprecise.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"introduce":[25],"DUS-neutrosophic":[26,54,91,112],"multivariate":[27,55,92,113],"that":[31,109],"used":[34],"imprecise":[42],"or":[43],"intervals.":[45],"We":[46,59,84],"derive":[47],"some":[48],"statistical":[49,143],"properties":[50],"and":[51,124],"functions":[52],"of":[53,80,88,120],"distribution.":[58],"also":[60],"discuss":[61],"maximum":[63,81],"likelihood":[64,82],"estimation":[65],"method":[66],"for":[67,141],"estimating":[68],"parameters.":[70],"Monte-Carlo":[71],"simulation":[72],"study":[73,77,137],"is":[74,107],"performed":[75],"to":[76],"behavior":[79],"estimates.":[83],"compare":[85],"efficiency":[87],"proposed":[90,111,136],"with":[96],"distributions":[99,131,144],"statistics.":[102,134],"From":[103],"comparison,":[105],"it":[106],"found":[108],"provides":[117],"smaller":[118],"values":[119],"Akaike\u2019s":[121],"information":[122,126],"criteria":[123,127],"Bayesian":[125],"than":[128],"extended":[140],"other":[142],"as":[145],"future":[146],"research.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
