In this article, the bimatrix variate beta Type IV distribution is derived from
independent Wishart distributed matrix variables. We explore specific properties of
this distribution which is then used to derive the exact expressions of the densities of
the product and ratio of two dependent Wilks’s statistics and to define the bimatrix
Kummer-beta Type IV distribution.
Bekker, Andriette, 1958-; Ferreira, Johannes Theodorus; Arashi, Mohammad; Rowland, B.W.(Taylor and Francis, 2020)
Some characteristics of the normal distribution may not be ideal to model in many applications. We develop a skew generalized normal (SGN) distribution by applying a skewing method to a generalized normal distribution, and ...
Malan, Merike; Steyn, Adriana Aletta (Riana)(Institute of Electrical and Electronics Engineers, 2019-09)
Distributed ledger technology allows for data to be recorded, shared, and synchronized across multiple distributed data stores. This brought forth the idea of using this technology to build consensus. Implementing this ...
We use a system of first-order partial differential equations that characterize the moment generating function of the d-variate standard normal distribution to construct a class of affine invariant tests for normality in ...
