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On combining independent tests in linear models

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  • Jordan, Scott M.
  • Krishnamoorthy, K.

Abstract

The problem of testing the common mean of several normal linear models when the variances are unknown and unequal is considered. A minor modification to the combined tests given in Zhou and Mathew (1993a) is proposed. The powers of the modified tests are numerically compared with their original versions and a traditional test. Comparison studies indicate that the modified tests have better power properties than their original versions. Practical situations where the modified tests are preferable to the traditional test are pointed out.

Suggested Citation

  • Jordan, Scott M. & Krishnamoorthy, K., 1995. "On combining independent tests in linear models," Statistics & Probability Letters, Elsevier, vol. 23(2), pages 117-122, May.
    • Handle: RePEc:eee:stapro:v:23:y:1995:i:2:p:117-122
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    References listed on IDEAS

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    1. Zhou, L. P. & Mathew, T., 1994. "Combining Independent Tests in Multivariate Linear Models," Journal of Multivariate Analysis, Elsevier, vol. 51(2), pages 265-276, November.
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    Cited by:

    1. K. Krishnamoorthy & Yong Lu, 2003. "Inferences on the Common Mean of Several Normal Populations Based on the Generalized Variable Method," Biometrics, The International Biometric Society, vol. 59(2), pages 237-247, June.

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