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학술저널

ON THE CONVOLUTION OF EXPONENTIAL DISTRIBUTIONS

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The distribution of the sum of n independent random variables having exponential distributions with di??erent parameters ¯i (i = 1; 2; :::; n) is given in [2], [3], [4] and [6]. In [1], by using Laplace transform, Jasiulewicz and Kordecki generalized the results obtained by Sen and Balakrishnan in [6] and established a formula for the distribution of this sum without conditions on the param- eters ¯i: The aim of this note is to present a method to ¯nd the distribution of the sum of n independent exponentially distributed random variables with di??erent parameters. Our method can also be used to handle the case when all ¯i are the same.

1. Introduction

2. Convolution of exponential distributions with di??erent parameters

3. Convolution of exponential distributions with the same parameter

4. Convolution of exponential distributions: General case

Acknowledgement

References

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