# WEIBULL-POISSON DISTRIBUTION AND THEIR APPLICATION TO SYSTEMATIC PARALLEL RISK

• Yekti Widyaningsih Department of Mathematics, Faculty of Mathematics and Natural Science, University of Indonesia, Indonesia https://orcid.org/0000-0002-1309-6916
• Rugun Ivana Department of Mathematics, Faculty of Mathematics and Natural Science, University of Indonesia, Indonesia
Keywords: Exponential-Poisson Distribution, Poisson Distribution, Weibull Distribution, Maximum Likelihood Method, Mathematics topic

### Abstract

The Weibull-Poisson distribution represents a continuous distribution type applicable to various forms of hazard, including monotone up, monotone down, and upside-down bathtub shapes that ascend. The distribution characterizes lifetimes and can effectively model failures within a series of systems, which evolves from the Exponential-Poisson distribution. This distribution emerges through the compounding of the Weibull Distribution and Zero Truncated Poisson Distribution. The compounding itself integrates several mathematical properties, such as statistical order and Taylor’s number expansion, to reach its final form. Alongside the formulation of the Weibull-Poisson distribution, this paper includes the probability density function, distribution function, rth moment, rth central moment, mean, and variance. For illustration, the Weibull-Poisson distribution is applied to guinea pig survival data after being infected with Turblece virus Bacilli.

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Published
2024-03-01
How to Cite
[1]
Y. Widyaningsih and R. Ivana, “WEIBULL-POISSON DISTRIBUTION AND THEIR APPLICATION TO SYSTEMATIC PARALLEL RISK”, BAREKENG: J. Math. & App., vol. 18, no. 1, pp. 0029-0042, Mar. 2024.
Section
Articles