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In the empirical study of four insurance datasets from Australia, Denmark and the USA, we show that the proposed distribution performs very well compared with other three-parameter competitors. <\/jats:p>","DOI":"10.1142\/s0218488523400196","type":"journal-article","created":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T07:38:56Z","timestamp":1707205136000},"page":"307-322","source":"Crossref","is-referenced-by-count":1,"title":["A New Inverse Extended Weibull Distribution for Modelling Insurance Loss Data"],"prefix":"10.1142","volume":"31","author":[{"given":"Shilin","family":"Yu","sequence":"first","affiliation":[{"name":"Discipline of Business Analytics, The University of Sydney, NSW 2006, Australia"}]},{"given":"Xuan","family":"Li","sequence":"additional","affiliation":[{"name":"Discipline of Business Analytics, The University of Sydney, NSW 2006, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6861-6974","authenticated-orcid":false,"given":"S. T. 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