The distribution function of a linear combination of independent central chi-square random variables is obtained in a straightfoward manner by inverting the moment generating function. The distribution is expressed as an infinite gamma series whose terms can be computed efficiently to a sufficient d
โฆ LIBER โฆ
The distribution of a truncated linear difference between independent chi-square variates
โ Scribed by David A. Harville
- Book ID
- 105589367
- Publisher
- Springer Japan
- Year
- 1973
- Tongue
- English
- Weight
- 612 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0020-3157
No coin nor oath required. For personal study only.
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## I. fntFoduction Let {X,,, n 2 1) be a sequence of independent random variables, P, and f, the distribution function and the characteristic fundion of the X,, respectively. Let us put SN = 2 X,, where N is a pasitive integer-valued random variable independent of X,, ?t 2 1. Furthermore, let { P,
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