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On Quadratic Forms of Multivariate t Distribution with Applications
Authors:Jian-Ying Rong  Zhi-Feng Lu  Xu-Qing Liu
Institution:1. Department of Foundation Courses , Huai'an College of Information Technology , Huai'an , PR China jyrong98@gmail.com;3. School of Science , Nantong University , Nantong , PR China;4. Faculty of Mathematics and Physics , Huaiyin Institute of Technology , Huai'an , PR China
Abstract:This note mainly aims to illustrate that some quadratic problems are robust in a sense with respect to the probabilistic distributions involved. The secondary moments of the quadratic forms of a multivariate t distribution are calculated. Then, the resulting formulae are applied to the quadratic problems of quadratic sufficiency and quadratic prediction. It is shown by revisiting the two problems that the same conclusions hold when the multivariate normal distribution is replaced with a multivariate t distribution.
Keywords:Multivariate t distribution  Optimal invariant quadratic unbiased predictor  Optimal invariant quadratic potentially biased predictor  Quadratic form  Quadratic prediction  Quadratic sufficiency
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