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Approximations to most powerful invariant tests for multinormality against some irregular alternatives

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Abstract

The problem of testing multinormality against some alternatives invariant with respect to a subgroup of affine transformations is studied. Using the Laplace expansion for integrals, some approximations to the most powerful invariant (MPI) tests are derived. The cases of bivariate exponential and bivariate uniform alternatives are studied in detail, whereas higher-dimensional extensions are only outlined. Those alternatives are irregular and need a special treatment because of the dependence of their supports on the unknown parameters. It is shown that likelihood ratio (LR) tests are asymptotically equivalent to the MPI tests. A Monte Carlo simulation study shows that the powers of the LR tests are very close to the powers of the MPI tests, even in small samples.

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References

  • Andersson S (1982) Distributions of maximal invariants using quotient measures. Ann Stat 10:955–961

    Article  MATH  Google Scholar 

  • Arnold BC, Balakrishnan N (1989) Relations, bounds and approximations for order statistics. Lecture notes in statistics, vol 53. Springer, Heidelberg

    MATH  Google Scholar 

  • Barbe P (1993) Limiting distribution of the minimal spacing. Math Methods Stat 3:306–325

    MathSciNet  Google Scholar 

  • Barndorff-Nielsen OE, Cox DR (1989) Asymptotic techniques for use in statistics. Chapman and Hall, London

    MATH  Google Scholar 

  • Barndorff-Nielsen OE, Cox DR (1994) Inference and asymptotics. Chapman and Hall, London

    MATH  Google Scholar 

  • Barndorff-Nielsen OE, Jupp PE (1988) Differential geometry, profile likelihood, L-sufficiency and composite transformation models. Ann Stat 16:1009–1043

    Article  MATH  MathSciNet  Google Scholar 

  • Barndorff-Nielsen OE, Blæsild P, Eriksen PS (1989) Decomposition and invariance of measures with a view to statistical transformation models. Lecture Notes in Statistics, vol 58. Springer, Heidelberg

    Google Scholar 

  • Bleistein N, Handelsman RA (1975) Asymptotic expansions of integrals. Holt, Rinehart and Winston, New York

    MATH  Google Scholar 

  • Ducharme GR, Frichot B (2003) Quasi-most powerful invariant goodness-of-fit tests. Scand J Stat 30:399–414

    Article  MATH  MathSciNet  Google Scholar 

  • Eaton ML (1983) Multivariate statistics. A vector space approach. Wiley, New York

    MATH  Google Scholar 

  • Fisher RA (1936) The use of multiple measurements in taxonomic problems. Ann Eugen 7/II:179–188

    Google Scholar 

  • Henze N (2002) Invariant tests for multivariate normality: a critical review. Stat Pap 43:467–506

    Article  MATH  MathSciNet  Google Scholar 

  • Mann HB, Wald A (1943) On stochastic limit and order relationship. Ann Math Stat 14:217–226

    Article  MATH  MathSciNet  Google Scholar 

  • Mardia KV (1970) Measures of multivariate skewness and kurtosis with applications. Biometrika 57:519–530

    Article  MATH  MathSciNet  Google Scholar 

  • Pace L, Salvan A (1997) Principles of statistical inference. World Scientific, Singapore

    MATH  Google Scholar 

  • Pace L, Salvan A, Ventura L (2006) Likelihood-based discrimination between separate scale and regression models. J Stat Plan Inference 136:3539–3553

    Article  MATH  MathSciNet  Google Scholar 

  • Press WH, Teukolsky SA, Vetterling WT, Flannery BP (1995) Numerical recipies in C. The art of scientific computing, 2nd edn. Cambridge University Press, New York

    Google Scholar 

  • Serfling RJ (1980) Approximation theorems of mathematical statistics. Wiley, New York

    Book  MATH  Google Scholar 

  • Shun Z, McCullagh P (1995) Laplace approximation of high-dimensional integrals. J R Stat Soc B 57:749–760

    MATH  MathSciNet  Google Scholar 

  • Szkutnik Z (1987) On invariant tests for multidimensional normality. Probab Math Stat 8:1–10

    MATH  MathSciNet  Google Scholar 

  • Szkutnik Z (1988) Most powerful invariant tests for binormality. Ann Stat 16:292–301

    Article  MATH  MathSciNet  Google Scholar 

  • Szkutnik Z (1992) Special capacities, the Hunt–Stein theorem and transformation groups. Ann Stat 20:1120–1128

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Piotr Majerski.

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Majerski, P., Szkutnik, Z. Approximations to most powerful invariant tests for multinormality against some irregular alternatives. TEST 19, 113–130 (2010). https://doi.org/10.1007/s11749-008-0136-4

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