Page 384 - Contributed Paper Session (CPS) - Volume 6
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CPS1992 Epimaco A. Cabanlit, Jr. et al.
2. Methodology
The paper is a pure research. The results are obtained based on well-defined
definitions and theorems.
3. Result
a. The Probability Density Function of Two Power Function Distributions
Theorem 1. If the probability density function () of the mixture of two
power function distributions, with shape parameter and scale parameter
> 0 where i = 1, 2, is
b. The Mean and Variance of the Mixture of Two Power Function
Distributions
Theorem 2. If X is a random variable of the mixture of two power function
distributions, with shape parameter and scale parameter > 0 where i = 1,
2, then the mean of X, denoted by E(x), is
Theorem 3. If X is a random variable of the mixture of two power function
distributions, with shape parameter and scale parameter > 0 where i = 1,
2, then
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