Abstract
The present article considers a new function to propose a new lifetime distribution. The new distribution is introduced by mixing up a linear system of the two logarithms of cumulative hazard functions. The proposed model is called new extended flexible Weibull distribution and is able to model lifetime with bathtub shaped failure rates and offers greater flexibility. Therefore, it can be quite valuable to use an alternative model to other existing lifetime distributions, where, modeling of real data sets with bathtub shaped failure rates are of interest. A brief description of the statistical properties along with estimation of the parameters through maximum likelihood procedure are discussed. The potentiality of the proposed model is showed by discussing two real data sets. For these data sets, the proposed model outclasses the Flexible Weibull Extension, Inverse Flexible Weibull Extension and Modified Weibull distributions.
Highlights
In the practice of analyzing real phenomena of nature one frequently uses the Rayleigh, Exponential, or Weibull distributions
Due to practical utility in bio and reliability disciplines, numerous generalizations of Weibull distribution have been proposed in the literature aiming to improve its characteristics and to model real world scenario with nonmonotonic failure rate functions
A new lifetime distribution entitled New Extended Flexible Weibull Distribution is introduced by taking into account a linear system of the two logarithms of cumulative hazard functions
Summary
In the practice of analyzing real phenomena of nature one frequently uses the Rayleigh, Exponential, or Weibull distributions These models possess numerous desirable properties and nice interpretations of its parameters enabling them to be utilized frequently. Due to practical utility in bio and reliability disciplines, numerous generalizations of Weibull distribution have been proposed in the literature aiming to improve its characteristics and to model real world scenario with nonmonotonic failure rate functions.
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