On Bivariate Exponentiated Extended Weibull Family of Distributions

Authors

  • Rasool Roozegar Department of Statistics, Yazd University, Yazd, Iran
  • Ali Akbar Jafari Department of Statistics, Yazd University, Yazd, Iran

DOI:

https://doi.org/10.5902/2179460X19496

Keywords:

Bivariate exponentiated extended Weibull distribution. Joint probability density function. EM-algorithm. Maximum likelihood estimation.

Abstract

In this paper, we introduce a new class of distributions by compounding the exponentiated extended Weibull family and power series family. This distribution contains several lifetime models such as the complementary extended Weibull-power series, generalized exponential-power series, generalized linear failure rate-power series, exponentiated Weibull-power series, generalized modifiedWeibull-power series, generalized Gompertz-power series and exponentiated extendedWeibull distributions as special cases. We obtain several properties of this new class of distributions such as Shannon entropy, mean residual life, hazard rate function, quantiles and moments. The maximum likelihood estimation procedure via a EM-algorithm is presented.

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Published

2016-05-31

How to Cite

Roozegar, R., & Jafari, A. A. (2016). On Bivariate Exponentiated Extended Weibull Family of Distributions. Ciência E Natura, 38(2), 564–576. https://doi.org/10.5902/2179460X19496

Issue

Section

Statistics