The Transmuted Generalized Modified Weibull Distribution

The last decade is full on new classes of distributions that become precious for applied statisticians. Generalizing existing distributions by adding parameters enable us to obtain more flexible models. We define a new lifetime model called the transmuted generalized modified Weibull distribution  which has a bathtub shaped hazard rate function. Some structural properties of the new model are investigated. The parameters of this distribution are estimated using maximum likelihood. The proposed model turns out to be quite flexible for analyzing positive data. In fact, it can provide better fits than related distributions as measured by the Anderson--Darling, Cram'er--von Mises and Kolmogrov-Simnorov statistics with p-value as proved by means of two real data sets. It may serve as a visible alternative to other distributions for modeling positive data arising in several fields such as the physical and biological sciences, hydrology, medicine, meteorology and engineering, among others.

[1]  Deo Kumar Srivastava,et al.  The exponentiated Weibull family: a reanalysis of the bus-motor-failure data , 1995 .

[2]  Gauss M. Cordeiro,et al.  The beta modified Weibull distribution , 2010, Lifetime data analysis.

[3]  William T. Shaw,et al.  The alchemy of probability distributions: beyond Gram-Charlier expansions, and a skew-kurtotic-normal distribution from a rank transmutation map , 2009, 0901.0434.

[4]  G. S. Mudholkar,et al.  A Generalization of the Weibull Distribution with Application to the Analysis of Survival Data , 1996 .

[5]  Debasis Kundu,et al.  Generalized Rayleigh distribution: different methods of estimations , 2005, Comput. Stat. Data Anal..

[6]  Elisa Lee,et al.  Statistical Methods for Survival Data Analysis: Lee/Survival Data Analysis , 2003 .

[7]  Saralees Nadarajah,et al.  The Kumaraswamy Weibull distribution with application to failure data , 2010, J. Frankl. Inst..

[8]  D. Kundu,et al.  EXPONENTIATED EXPONENTIAL FAMILY: AN ALTERNATIVE TO GAMMA AND WEIBULL DISTRIBUTIONS , 2001 .

[9]  R. Jiang,et al.  Mixture of Weibull distributions - Parametric characterization of failure rate function , 1998 .

[10]  Francisco Louzada,et al.  The complementary Weibull geometric distribution , 2014 .

[11]  G. Cordeiro,et al.  The transmuted exponentiated Weibull geometric distribution: Theory and applications , 2015 .

[12]  Munir Ahmad,et al.  THE TRANSMUTED EXPONENTIAL-WEIBULL DISTRIBUTION WITH APPLICATIONS , 2015 .

[13]  Chris P. Tsokos,et al.  Transmuted Weibull Distribution: A Generalization of theWeibull Probability Distribution , 2011 .

[14]  Xiuyun Peng,et al.  Estimation and application for a new extended Weibull distribution , 2014, Reliab. Eng. Syst. Saf..

[15]  D. Kundu,et al.  Theory & Methods: Generalized exponential distributions , 1999 .

[16]  Gauss M. Cordeiro,et al.  An extended Lomax distribution , 2013 .

[17]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[18]  Saad J. Almalki,et al.  A new modified Weibull distribution , 2013, Reliab. Eng. Syst. Saf..

[19]  Gauss M. Cordeiro,et al.  The exponential–Weibull lifetime distribution , 2014 .

[20]  D. N. Prabhakar Murthy,et al.  A modified Weibull distribution , 2003, IEEE Trans. Reliab..

[21]  Muhammad Nauman Khan The Modified Beta Weibull Distribution , 2014 .

[22]  Gauss M. Cordeiro,et al.  Computational Statistics and Data Analysis a Generalized Modified Weibull Distribution for Lifetime Modeling , 2022 .

[23]  M. E. Ghitany,et al.  Marshall–Olkin extended weibull distribution and its application to censored data , 2005 .