Lomax inverse Weibull model: properties, applications, and a modified Chi-squared goodness-of-fit test for validation

Volume 13, Issue 6, pp 330--353 http://dx.doi.org/10.22436/jnsa.013.06.04
Publication Date: April 07, 2020 Submission Date: August 29, 2019 Revision Date: October 29, 2019 Accteptance Date: January 16, 2020

Authors

Hafida Goual - Laboratory of Probability and Statistics, University of Badji Mokhtar, Annaba, Algeria. Haitham M. Yousof - Department of Statistics, Mathematics and Insurance, Benha University, Egypt. M. Masoom Ali - Department of Mathematical Sciences, Ball State University, Muncie, Indiana, 47306, USA.


Abstract

In this paper, we introduce a new extension of the Inverse Weibull distribution along with a number of its mathematical properties. Next, we construct a modified Chi-squared goodness-of-fit test based on the Nikulin-Rao-Robson statistic for censored and complete data. We describe the theory and the mechanism of the \(Y_{n}^{2}\) test statistic which can be used in survival and reliability data analysis. We use the maximum likelihood estimators based on the initial non grouped data sets. Then, we conduct numerical simulations to reinforce the results. For showing the applicability of our model in various fields, we illustrate the proposed test by applications to two real data sets for complete data case and two other data sets in the presence of right censored.


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ISRP Style

Hafida Goual, Haitham M. Yousof, M. Masoom Ali, Lomax inverse Weibull model: properties, applications, and a modified Chi-squared goodness-of-fit test for validation, Journal of Nonlinear Sciences and Applications, 13 (2020), no. 6, 330--353

AMA Style

Goual Hafida, Yousof Haitham M., Masoom Ali M., Lomax inverse Weibull model: properties, applications, and a modified Chi-squared goodness-of-fit test for validation. J. Nonlinear Sci. Appl. (2020); 13(6):330--353

Chicago/Turabian Style

Goual, Hafida, Yousof, Haitham M., Masoom Ali, M.. "Lomax inverse Weibull model: properties, applications, and a modified Chi-squared goodness-of-fit test for validation." Journal of Nonlinear Sciences and Applications, 13, no. 6 (2020): 330--353


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