Titlebook: Elliptically Contoured Models in Statistics; A. K. Gupta,T. Varga Book 1993 Kluwer Academic Publishers 1993 algebra.matrices.matrix.normal

容易做

Intervention

Linear Models,his model can be expressed as .where X = (x., x.,...,x.); Z = (z., z.,...,z.) is a q × n known matrix; B (p × q) and Σ (p × p) are unknown matrices. Assume rk(Z) = q and p + q ≤ n. The joint p.d.f. of x., x.,...,x. can be written as

Constant

Book 1993s spread out in journals throughout the world and is not easily accessible to the investigators. Fang, Kotz, and Ng presented a systematic study of multivariate elliptical distributions, however, they did not discuss the matrix variate case. Recently Fang and Zhang have summarized the results of gen

thrombus

Preliminaries,ese distributions proved to be useful in statistical inference. For example, the Wishart distribution is essential when studying the sample covariance matrix in the multivariate normal theory. Random matrices can also be used to describe repeated measurements on multivariate variables. In this case,

CLEFT

毛細(xì)血管

Preliminaries,ons in this class possess certain properties, similar to those of the normal distribution, makes them especially useful. For example, many testing procedures developed for the normal theory to test various hypotheses can be used for this class of distributions, too.

后來(lái)

Book 1993e most important results on the theory of matrix variate elliptically contoured distributions available in the literature and organize them in a unified manner that can serve as an introduction to the subject. The book will be useful for researchers, teachers, and graduate students in statistics and

障礙物

collect the most important results on the theory of matrix variate elliptically contoured distributions available in the literature and organize them in a unified manner that can serve as an introduction to the subject. The book will be useful for researchers, teachers, and graduate students in statistics and978-94-010-4719-7978-94-011-1646-6

follicular-unit

https://doi.org/10.1057/9781137477859ons in this class possess certain properties, similar to those of the normal distribution, makes them especially useful. For example, many testing procedures developed for the normal theory to test various hypotheses can be used for this class of distributions, too.

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