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Publication Cover
Statistics
A Journal of Theoretical and Applied Statistics
Volume 52, 2018 - Issue 2
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Original Articles

A robust multivariate Birnbaum–Saunders distribution: EM estimation

Renata G. RomeiroDepartamento de Estatística, Universidade Estadual de Campinas, São Paulo, BrazilView further author information
,
Filidor VilcaDepartamento de Estatística, Universidade Estadual de Campinas, São Paulo, BrazilCorrespondence[email protected]
[email protected]
View further author information
&
N. BalakrishnanDepartment of Mathematics and Statistics, McMaster University, Hamilton, ON, CanadaView further author information
Pages 321-344 | Received 03 Jan 2017, Accepted 04 Sep 2017, Published online: 05 Dec 2017

Citations (6)

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Read on this site (1)

Renata G. Romeiro, Filidor Vilca, N. Balakrishnan & Camila Borelli Zeller. (2020) A robust multivariate Birnbaum–Saunders regression model. Statistics 54:5, pages 1094-1123.
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Articles from other publishers (5)

Filidor Vilca, Camila Borelli Zeller & Narayanaswamy Balakrishnan. (2023) Multivariate Birnbaum–Saunders distribution based on a skewed distribution and associated EM-estimation. Brazilian Journal of Probability and Statistics 37:1.
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Mahsa Sasaei, Reza Pourmousa, Narayanaswamy Balakrishnan & Ahad Jamalizadeh. (2020) A robust class of multivariate fatigue distributions based on normal mean-variance mixture model. Journal of the Korean Statistical Society 50:1, pages 44-68.
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Mehrdad Naderi, Farzane Hashemi, Andriette Bekker & Ahad Jamalizadeh. (2020) Modeling right-skewed financial data streams: A likelihood inference based on the generalized Birnbaum–Saunders mixture model. Applied Mathematics and Computation 376, pages 125109.
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Filidor Vilca. (2018) Discussion of Birnbaum‐Saunders distribution: A review of models, analysis, and applications. Applied Stochastic Models in Business and Industry 35:1, pages 100-103.
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N. Balakrishnan & Debasis Kundu. (2018) Birnbaum‐Saunders distribution: A review of models, analysis, and applications. Applied Stochastic Models in Business and Industry 35:1, pages 4-49.
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