• Title of article

    Error bounds for asymptotic expansions of Wilks’ lambda distribution

  • Author/Authors

    Fujikoshi، نويسنده , , Yasunori and Ulyanov، نويسنده , , Vladimir V.، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2006
  • Pages
    17
  • From page
    1941
  • To page
    1957
  • Abstract
    Let Λ = | S e | / | S e + S h | , where S h and S e are independently distributed as Wishart distributions W p ( q , Σ ) and W p ( n , Σ ) , respectively. Then Λ has Wilks’ lambda distribution Λ p , q , n which appears as the distributions of various multivariate likelihood ratio tests. This paper is concerned with theoretical accuracy for asymptotic expansions of the distribution of T = - n log Λ . We derive error bounds for the approximations. It is necessary to underline that our error bounds are given in explicit and computable forms.
  • Keywords
    Asymptotic expansions , Wilks’ lambda distribution , Wishart distribution , Function of multivariate scale mixture , Error bounds
  • Journal title
    Journal of Multivariate Analysis
  • Serial Year
    2006
  • Journal title
    Journal of Multivariate Analysis
  • Record number

    1558523