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A modified Bartlett test for heteroscedastic one-way MANOVA

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Abstract

In this paper, we investigate tests of linear hypotheses in heteroscedastic one-way MANOVA via proposing a modified Bartlett (MB) test. The MB test is easy to conduct via using the usual χ2-table. It is shown to be invariant under affine transformations, different choices of the contrast matrix used to define the same hypothesis and different labeling schemes of the mean vectors. Simulation studies and real data applications demonstrate that the MB test performs well and is generally comparable to Krishnamoorthy and Lu’s (J Statist Comput Simul 80(8):873–887, 2010) parametric bootstrap test in terms of size controlling and power.

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References

  • Anderson TW (2003) An introduction to multivariate statistical analysis. Wiley, New York

    MATH  Google Scholar 

  • Belloni A, Didier G (2008) On the Behrens–Fisher problem: a globally convergent algorithm and a finite-sample study of the Wald, LR and LM tests. Ann Stat 36: 2377–2408

    Article  MathSciNet  MATH  Google Scholar 

  • Fujikoshi Y (2000) Transformations with improved chi-squared approximations. J Multivar Anal 72: 249–263

    Article  MathSciNet  MATH  Google Scholar 

  • Gamage J, Mathew T, Weerahandi S (2004) Generalized p-values and generalized confidence regions for the multivariate Behrens–Fisher problem and MANOVA. J Multivar Anal 88: 177–189

    Article  MathSciNet  MATH  Google Scholar 

  • James GS (1954) Tests of linear hypotheses in univariate and multivariate analysis when the ratios of the population variances are unknown. Biometrika 41: 19–43

    MathSciNet  MATH  Google Scholar 

  • Johansen S (1980) The Welch-James approximation to the distribution of the residual sum of squares in a weighted linear regression. Biometrika 67: 85–95

    Article  MathSciNet  MATH  Google Scholar 

  • Kim S (1992) A practical solution to the multivariate Behrens–Fisher problem. Biometrika 79: 171–176

    Article  MathSciNet  MATH  Google Scholar 

  • Krishnamoorthy K, Lu F (2010) A parametric bootstrap solution to the MANOVA under heteroscedasticity. J Statist Comput Simul 80(8): 873–887

    Article  MathSciNet  MATH  Google Scholar 

  • Krishnamoorthy K, Lu F, Mathew T (2007) A parametric bootstrap approach for ANOVA with unequal variances: fixed and random models. Comput Stat Data Anal 51: 5731–5742

    Article  MathSciNet  MATH  Google Scholar 

  • Krishnamoorthy K, Yu J (2004) Modified Nel and Van der Merwe test for the multivariate Behrens-Fisher problem. Statist Prob Lett 66: 161–169

    Article  MathSciNet  MATH  Google Scholar 

  • Kshirsagar AM (1972) Multivariate analysis. Marcel Decker, New York

    MATH  Google Scholar 

  • Letac G, Massam H (2004) All invariant moments of the Wishart distribution. Scand J Statist 31: 295–318

    Article  MathSciNet  MATH  Google Scholar 

  • Nel DG, Vander Merwe CA (1986) A solution to the multivariate Behrens–Fisher problem. Commun Statist Theory Methods 15: 3719–3735

    Article  MathSciNet  MATH  Google Scholar 

  • Tang KL, Algina J (1993) Performing of four multivariate tests under variance-covariance heteroscedasticity. Multivar Behav Res 28: 391–405

    Article  Google Scholar 

  • Yao Y (1965) An approximate degrees of freedom solution to the multivariate Behrens–Fisher problem. Biometrika 52: 139–147

    MathSciNet  MATH  Google Scholar 

  • Yanagihara H, Yuan KH (2005) Three approximate solutions to the multivariate Behrens–Fisher problem. Commun Statist Simul Comput 34: 975–988

    Article  MathSciNet  MATH  Google Scholar 

  • Zhang JT, Liu X (2011) A modified Bartlett test for linear hypotheses in heteroscedastic one-way ANOVA. Manuscript

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Correspondence to Jin-Ting Zhang.

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Zhang, JT., Liu, X. A modified Bartlett test for heteroscedastic one-way MANOVA. Metrika 76, 135–152 (2013). https://doi.org/10.1007/s00184-011-0379-z

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