Stable hypothesis for mixed models with balanced cross-nesting

Dário Ferreira; João Tiago Mexia; Sandra Saraiva Ferreira

Discussiones Mathematicae Probability and Statistics (2005)

  • Volume: 25, Issue: 2, page 241-249
  • ISSN: 1509-9423

Abstract

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Stable hypothesis are hypothesis that may refer either for the fixed part or for the random part of the model. We will consider such hypothesis for models with balanced cross-nesting. Generalized F tests will be derived. It will be shown how to use Monte-Carlo methods to evaluate p-values for those tests.

How to cite

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Dário Ferreira, João Tiago Mexia, and Sandra Saraiva Ferreira. "Stable hypothesis for mixed models with balanced cross-nesting." Discussiones Mathematicae Probability and Statistics 25.2 (2005): 241-249. <http://eudml.org/doc/287698>.

@article{DárioFerreira2005,
abstract = {Stable hypothesis are hypothesis that may refer either for the fixed part or for the random part of the model. We will consider such hypothesis for models with balanced cross-nesting. Generalized F tests will be derived. It will be shown how to use Monte-Carlo methods to evaluate p-values for those tests.},
author = {Dário Ferreira, João Tiago Mexia, Sandra Saraiva Ferreira},
journal = {Discussiones Mathematicae Probability and Statistics},
keywords = {generalized F tests; mixed balanced models; cross-nesting},
language = {eng},
number = {2},
pages = {241-249},
title = {Stable hypothesis for mixed models with balanced cross-nesting},
url = {http://eudml.org/doc/287698},
volume = {25},
year = {2005},
}

TY - JOUR
AU - Dário Ferreira
AU - João Tiago Mexia
AU - Sandra Saraiva Ferreira
TI - Stable hypothesis for mixed models with balanced cross-nesting
JO - Discussiones Mathematicae Probability and Statistics
PY - 2005
VL - 25
IS - 2
SP - 241
EP - 249
AB - Stable hypothesis are hypothesis that may refer either for the fixed part or for the random part of the model. We will consider such hypothesis for models with balanced cross-nesting. Generalized F tests will be derived. It will be shown how to use Monte-Carlo methods to evaluate p-values for those tests.
LA - eng
KW - generalized F tests; mixed balanced models; cross-nesting
UR - http://eudml.org/doc/287698
ER -

References

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  1. [1] M. Fonseca, J.T. Mexia and R. Zmyślony, Jordan Alebras, Generating Pivot variables and Orthogonal Mixed Models 22 (2004), 37-51. 
  2. [2] A. Michalski and R. Zmyślony, Testing Hypothesis For Variance Components in Mixed Linear Models, Statistics 27 (1996), 297-310. Zbl0842.62059
  3. [3] A. Michalski and R. Zmyślony, Testing Hypothesis For Linear Functions of Parameters in Mixed Linear Models, Tatra Mt Math Publications 17 (1999), 103-110. Zbl0987.62012
  4. [4] S. Weerahandi, Exact Statistical methods for Data Analysis, 2nd print. Springer Verlags 1996. Zbl0912.62002
  5. [5] S. Saraiva and J.T. Mexia, Alternative Analysis of an Experiment On Grapevines, Colloquium Biometryczne 34a (2004), 89-95. 

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