Stable hypothesis for mixed models with balanced cross-nesting

• Autorzy: Dário Ferreira , João Tiago Mexia , Sandra Saraiva Ferreira
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

generalized F tests; mixed balanced models; cross-nesting

Kategorie tematyczne

• 62K15: Factorial designs

• Wydawca: Faculty of Mathematics, Computer Science and Econometrics, University of Zielona Góra
• Czasopismo: Discussiones Mathematicae Probability and Statistics
• Rocznik: 2005
• Tom: 25
• Numer: 2
• Strony: 241-249

Daty

wydano

2005

otrzymano

2005-03-03

Twórcy

autor

Dário Ferreira

• Department of Mathematics, University of Beira Interior, 6200 Covilha, Portugal

autor

João Tiago Mexia

• Department of Mathematics, Faculty of Science and Tecnology, New University of Lisbon, Monte da Caparica, Portugal

autor

Sandra Saraiva Ferreira

• Department of Mathematics, University of Beira Interior, 6200 Covilha, Portugal

Bibliografia

• [1] M. Fonseca, J.T. Mexia and R. Zmyślony, Jordan Alebras, Generating Pivot variables and Orthogonal Mixed Models 22 (2004), 37-51.
• [2] A. Michalski and R. Zmyślony, Testing Hypothesis For Variance Components in Mixed Linear Models, Statistics 27 (1996), 297-310.
• [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.
• [4] S. Weerahandi, Exact Statistical methods for Data Analysis, 2nd print. Springer Verlags 1996.
• [5] S. Saraiva and J.T. Mexia, Alternative Analysis of an Experiment On Grapevines, Colloquium Biometryczne 34a (2004), 89-95.

Identyfikatory

DOI

10.7151/dmps.1071