Let the column vectors of X: M\_N, M<N, be distributed as independent complex normal vectors with the same covariance matrix 7. Then the usual quadratic form in the complex normal vectors is denoted by Z=XLX H where L: N\_N is a positive definite hermitian matrix. This paper deals with a representat
On the Joint Distribution of a Quadratic and a Linear Form in Normal Variables
✍ Scribed by Alexander Schöne; Wolfgang Schmid
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 199 KB
- Volume
- 72
- Category
- Article
- ISSN
- 0047-259X
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper a series representation of the joint density and the joint distribution of a quadratic form and a linear form in normal variables is developed. The expansion makes use of Laguerre polynomials. As an example the calculation of the joint distribution of the mean and the sample variance is considered. The truncated series is compared with the empirical distribution function which was determined in a Monte Carlo study.
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