The exponential generalized log-logistic model: Bagdonavičius-Nikulin test for validation and non-Bayesian estimation methods-Reference-Cited by-同舟云学术

The exponential generalized log-logistic model: Bagdonavičius-Nikulin test for validation and non-Bayesian estimation methods

Published:2022-01-31 Issue:1 Volume:29 Page:681-705
ISSN:2383-4757
Container-title:Communications for Statistical Applications and Methods
language:en
Short-container-title:CSAM

Author:

Ibrahim Mohamed¹,Aidi Khaoula²,Ali Mir Masoom³,Yousof Haitham M.⁴

Affiliation:

1. Department of Applied, Mathematical and Actuarial Statistics, Damietta University, Egypt

2. Laboratory of Probability and Statistics LaPS, University Badji Mokhtar, Algeria

3. Department of Mathematical Sciences, Ball State University, Muncie, USA

4. Department of Statistics, Mathematics and Insurance, Benha University, Egypt

Publisher

Communications for Statistical Applications and Methods

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Finance,Modeling and Simulation,Statistics and Probability

Link

http://pdf.medrang.co.kr/CSAM/2022/029/CSAM029-01-681.pdf

Reference29 articles.

1. How to Identify a Bathtub Hazard Rate

2. Extended Weibull log-logistic distribution

3. A New Log-location Regression Model with Influence Diagnostics and Residual Analysis

4. Altun E, Yousof HM, Chakraborty S, and Handique L (2018b). Zografos-Balakrishnan Burr XII distribution: regression modeling and applications. International Journal of Mathematics and Statistics, 19, 46-70.

5. Bagdonavičius V and Nikulin M (2011). Chi-squared goodness-of-fit test for right censored data. International Journal of Applied Mathematics and Statistics, 24, 30-50.

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