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Tail Probabilities of the Maxima of Multilinear Forms and Their Applications

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Author Info
Akimichi Takemura (Faculty of Economics, University of Tokyo.)
Satoshi Kuriki (The Institute of Statistical Mathematics.)
Abstract

Let Z be a k-way array whose q1 x...x qk elements are independent standard normal variables. For qi-dimensional vector hi, i=1, ...., k, define a multilinear form of degree k by (h1 x hk)'vec(Z). We derive formulas for upper tail probabilities of the maximum of multilinear form with respect to hi's under the condition ||hi||=1 for any i, and of its standardized statistic obtained by dividing by ||vec(Z)||. We also give formulas for the maximum of symmetric multilinear form (h1 x...x hk)'vec(sym(Z)),@where sym(Z) denotes the symmetrization of Z with respect to indices. These classes of statistics have important applications in testing hypotheses of multivariate analysis such as the analysis of variance of multiway layout data or testing multivariate normality. In order to derive the tail probabilities we employ a geometric approach developed by H. Weyl and J. Sun. Upper and lower bounds for the tail probabilities are given by reexamining the Sun's results. Some numerical examples are given to illustrate the practical usefulness of the obtained formulas including the upper and lower bounds.

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Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-4.

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Length: 40 pages
Date of creation: Jun 1998
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Handle: RePEc:tky:fseres:98cf04

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Davis, A. W., 1972. "On the ratios of the individual latent roots to the trace of a Wishart matrix," Journal of Multivariate Analysis, Elsevier, vol. 2(4), pages 440-443, December. [Downloadable!] (restricted)
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  1. Akimichi Takemura & Satoshi Kuriki, 1999. "Tail Probability via Tube Formula and Euler Characteristic Method when Critical Radius is Zero," CIRJE F-Series CIRJE-F-59, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
  2. Akimichi Takemura & Satoshi Kuriki, 1999. "Maximum of Gaussian Field on Piecewise Smooth Domain: Equivalence of Tube Method and Euler Characteristic Method," CIRJE F-Series CIRJE-F-54, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
  3. Akimichi Takemura & Satoshi Kuriki, 2000. "Maximum Covariance Di erence Test for Equality of Two Covariance Matrices," CIRJE F-Series CIRJE-F-89, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
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