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Journal of Applied Statistics Volume 49, 2022 - Issue 12
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Articles

A bimodal Weibull distribution: properties and inference

Roberto Vilaa Departamento de Estatística, Universidade de Brasília, Brasília, BrazilORCID Iconhttps://orcid.org/0000-0003-1073-0114View further author information
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Mehmet Niyazi Çankayab Faculty of Applied Sciences, Department of International Trading and Finance, Uşak University, Uşak, Turkey;c Faculty of Art and Sciences, Department of Statistics, Uşak University, Uşak, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2933-857XView further author information
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Pages 3044-3062 | Received 14 Dec 2020, Accepted 15 May 2021, Published online: 24 May 2021

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Read on this site (2)

Roberto Vila, Lucas Alfaia, André F.B. Menezes, Mehmet N. Çankaya & Marcelo Bourguignon. (2024) A model for bimodal rates and proportions. Journal of Applied Statistics 51:4, pages 664-681.
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Roberto Vila, Victor Serra, Mehmet Niyazi Çankaya & Felipe Quintino. (2023) A general class of trimodal distributions: properties and inference. Journal of Applied Statistics 0:0, pages 1-24.
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Articles from other publishers (2)

Beatriz L. Simões e Silva, Cira E. G. Otiniano & Eduardo Y. Nakano. (2024) The return period of heterogeneous climate data with a new invertible distribution. Stochastic Environmental Research and Risk Assessment.
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Hadeel S. Klakattawi. (2022) Survival analysis of cancer patients using a new extended Weibull distribution. PLOS ONE 17:2, pages e0264229.
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