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February 2020 A note on the “L-logistic regression models: Prior sensitivity analysis, robustness to outliers and applications”
Saralees Nadarajah, Yuancheng Si
Braz. J. Probab. Stat. 34(1): 183-187 (February 2020). DOI: 10.1214/18-BJPS419

Abstract

Da Paz, Balakrishnan and Bazan [Braz. J. Probab. Stat. 33 (2019), 455–479] introduced the L-logistic distribution, studied its properties including estimation issues and illustrated a data application. This note derives a closed form expression for moment properties of the distribution. Some computational issues are discussed.

Citation

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Saralees Nadarajah. Yuancheng Si. "A note on the “L-logistic regression models: Prior sensitivity analysis, robustness to outliers and applications”." Braz. J. Probab. Stat. 34 (1) 183 - 187, February 2020. https://doi.org/10.1214/18-BJPS419

Information

Received: 1 March 2018; Accepted: 1 September 2018; Published: February 2020
First available in Project Euclid: 3 February 2020

zbMATH: 07200399
MathSciNet: MR4058978
Digital Object Identifier: 10.1214/18-BJPS419

Keywords: L-Logistic distribution , moments , Wright generalized hypergeometric function

Rights: Copyright © 2020 Brazilian Statistical Association

Vol.34 • No. 1 • February 2020
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