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On order restricted inference in some mixed linear models

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  • Silvapulle, Mervyn J.

Abstract

It is shown that a large class of results on order restricted inference can be used to test some ordered hypotheses about the fixed effects in rather general mixed linear models under some reasonable assumptions. The results are general enough to be applicable in some repeated measures models for unbalanced designs with incomplete data.

Suggested Citation

  • Silvapulle, Mervyn J., 1997. "On order restricted inference in some mixed linear models," Statistics & Probability Letters, Elsevier, vol. 36(1), pages 23-27, November.
    • Handle: RePEc:eee:stapro:v:36:y:1997:i:1:p:23-27
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    References listed on IDEAS

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    1. Singh, Bahadur & Wright, F. T., 1990. "Testing for and against an order restriction in mixed-effects models," Statistics & Probability Letters, Elsevier, vol. 9(2), pages 195-200, February.
    2. Silvapulle, Mervyn J., 1996. "On an F-type statistic for testing one-sided hypotheses and computation of chi-bar-squared weights," Statistics & Probability Letters, Elsevier, vol. 28(2), pages 137-141, June.
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    Cited by:

    1. Ding, Jieli & Tian, Guo-Liang & Yuen, Kam Chuen, 2015. "A new MM algorithm for constrained estimation in the proportional hazards model," Computational Statistics & Data Analysis, Elsevier, vol. 84(C), pages 135-151.

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