Exact nonnull distribution of Wilks' statistic: The ratio and product of independent components

The study of the noncentral matrix variate beta type distributions has been sidelined because the final expressions for the densities depend on an integral that has not been resolved in an explicit way. We derive an exact expression for the nonnull distribution of Wilks' statistic and precise expressions for the densities of the ratio and product of two independent components of matrix variates where one matrix variate has the noncentral matrix variate beta type I distribution and the other has the matrix variate beta type I distribution. We provide the expressions for the densities of the determinant of the ratio and the product of these two components. These distributions play a fundamental role in various areas of statistics, for example in the criteria proposed by Wilks.

[1]  On the singular matrix variate beta distribution , 1998 .

[2]  Arjun K. Gupta On a stochastic inequality for the wilks statistic , 1975 .

[3]  A. Zemanian Generalized Integral Transformations , 1987 .

[4]  R. Gutiérrez,et al.  APPROXIMATION OF HYPERGEOMETRIC FUNCTIONS WITH MATRICIAL ARGUMENT THROUGH THEIR DEVELOPMENT IN SERIES OF ZONAL POLYNOMIALS , 2000 .

[5]  J. A. Díaz-García,et al.  Singular matrix variate beta distribution , 2008 .

[6]  A. W. Davis Invariant polynomials with two matrix arguments extending the zonal poly-nomials , 1980 .

[7]  N. Giri Multivariate Statistical Analysis : Revised And Expanded , 2003 .

[8]  A. James Zonal Polynomials of the Real Positive Definite Symmetric Matrices , 1961 .

[9]  Daya K. Nagar,et al.  An identity involving invariant polynomials of matrix arguments , 2005, Appl. Math. Lett..

[10]  A. M. Mathai,et al.  The Exact Distribution of Wilks' Criterion , 1971 .

[11]  E. S. Pearson,et al.  METHODS OF STATISTICAL ANALYSIS APPROPRIATE FOR k SAMPLES OF TWO VARIABLES , 1933 .

[12]  A. W. Davis Invariant polynomials with two matrix arguments extending the zonal polynomials: Applications to multivariate distribution theory , 1979 .

[13]  C. Herz BESSEL FUNCTIONS OF MATRIX ARGUMENT , 1955 .

[14]  T. Pham-Gia,et al.  The product and quotient of general beta distributions , 2002 .

[15]  S. Nadarajah Sums, Products, and Ratios of Non-central Beta Variables , 2005 .

[16]  Alan Edelman,et al.  The efficient evaluation of the hypergeometric function of a matrix argument , 2006, Math. Comput..

[17]  P. K. Sen,et al.  Multivariate Analysis V. , 1982 .

[18]  M. Arashi,et al.  Bimatrix Variate Beta Type IV Distribution: Relation to Wilks's Statistic and Bimatrix Variate Kummer-Beta Type IV Distribution , 2011 .

[19]  Arak M. Mathai,et al.  A handbook of generalized special functions for statistical and physical sciences , 1993 .

[20]  M. Okamoto,et al.  A note on the non-null distribution of the Wilks statistic in MANOVA , 1969 .

[21]  A. Rukhin Matrix Variate Distributions , 1999, The Multivariate Normal Distribution.

[22]  T. Pham-Gia,et al.  Exact distribution of the generalized Wilks's statistic and applications , 2008 .

[23]  T. Pham-Gia,et al.  Distributions of the ratios of independent beta variables and applications , 2000 .

[24]  S. S. Wilks CERTAIN GENERALIZATIONS IN THE ANALYSIS OF VARIANCE , 1932 .

[25]  A. James Distributions of Matrix Variates and Latent Roots Derived from Normal Samples , 1964 .

[26]  Y. Chikuse Distributions of Some Matrix Variates and Latent Roots in Multivariate Behrens-Fisher Discriminant Analysis , 1981 .

[27]  Arjun K. Gupta Noncentral Distribution of Wilks' Statistic in Manova , 1971 .

[28]  A. G. Constantine,et al.  The Distribution of Hotelling's Generalised $T_0^2$ , 1966 .

[29]  J. A. Díaz-García Special Functions: Integral properties of Jack polynomials, hypergeometric functions and invariant polynomials , 2009, 0909.1988.