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Tests for a simple tree order restriction with application to dose-response studies

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Author Info
Shyamal D. Peddada
Joseph K. Haseman
Xiaofeng Tan
Greg Travlos
Abstract

We propose 'Dunnett-type' test procedures to test for simple tree order restrictions on the means of "p" independent normal populations. The new tests are based on the estimation procedures that were introduced by Hwang and Peddada and later by Dunbar, Conaway and Peddada. The procedures proposed are also extended to test for 'two-sided' simple tree order restrictions. For non-normal data, nonparametric versions based on ranked data are also suggested. Using computer simulations, we compare the proposed test procedures with some existing test procedures in terms of size and power. Our simulation study suggests that the procedures compete well with the existing procedures for both one-sided and two-sided simple tree alternatives. In some instances, especially in the case of two-sided alternatives or for non-normally distributed data, the gains in power due to the procedures proposed can be substantial. Copyright 2006 Royal Statistical Society.

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1467-9876.2006.00549.x
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Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series C (Applied Statistics).

Volume (Year): 55 (2006)
Issue (Month): 4 ()
Pages: 493-506
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Handle: RePEc:bla:jorssc:v:55:y:2006:i:4:p:493-506

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  1. Kulan Ranasinghe & Mervyn J. Silvapulle, 2008. "Semiparametric estimation of duration models when the parameters are subject to inequality constraints and the error distribution is unknown," Monash Econometrics and Business Statistics Working Papers 5/08, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
  2. Kulan Ranasinghe & Mervyn J. Silvapulle, 2008. "Semiparametric estimation of duration models when the parameters are subject to inequality constraints and the error distribution is unknown," Monash Econometrics and Business Statistics Working Papers 1/08, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
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