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Property Of The Beta Modified Weibull Distribution With Six Parameters

Didier Alain Njamen Njomen, Fidel Djongreba Ndikwa

Abstract

The aim of this article is to determine a new six-parameter Beta Weibull distribution and its various associated functions, namely the cumulative distribution, survival, probability density and hazard functions. Next, we determine the sub-distributions of the new distribution and show that the latter generalizes those of the literature. Finally, numerical simulations were performed and show that the shapes of the density function of the new distribution cover all those in the literature, and the shapes of hazard functions (constant, increasing, decreasing, $\bigcup$-shaped and $\bigcap$-shaped) are represented in the new distribution and encompass all existing distributions.

Property Of The Beta Modified Weibull Distribution With Six Parameters

Abstract

The aim of this article is to determine a new six-parameter Beta Weibull distribution and its various associated functions, namely the cumulative distribution, survival, probability density and hazard functions. Next, we determine the sub-distributions of the new distribution and show that the latter generalizes those of the literature. Finally, numerical simulations were performed and show that the shapes of the density function of the new distribution cover all those in the literature, and the shapes of hazard functions (constant, increasing, decreasing, -shaped and -shaped) are represented in the new distribution and encompass all existing distributions.

Paper Structure

This paper contains 12 sections, 4 theorems, 22 equations, 2 figures, 1 table.

Key Result

Proposition 3.1

The cumulative distribution function and probability density function associated with the four-parameter Weibull distribution are given respectively by : and

Figures (2)

  • Figure 1: Plots of the modified Beta weibull density for some parameter values.
  • Figure 2: Plots of the Modified Beta Weibull hazard function for some parameter values

Theorems & Definitions (4)

  • Proposition 3.1
  • Theorem 3.1
  • Theorem 3.2
  • Corollary 3.1