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Exact distribution for the generalized F tests

100%

Fonseca M., Mexia J., Zmyślony R.

Discussiones Mathematicae Probability and Statistics

2002

tom 22

nr 1-2

37-51

Generalized F statistics are the quotients of convex combinations of central chi-squares divided by their degrees of freedom. Exact expressions are obtained for the distribution of these statistics when the degrees of freedom either in the numerator or in the denominator are even. An example is given to show how these expressions may be used to check the accuracy of Monte-Carlo methods in tabling these distributions. Moreover, when carrying out adaptative tests, these expressions enable us to estimate the p-values whenever they are available.

Estimators and tests for variance components in cross nested orthogonal designs

100%

Fonseca M., Mexia J., Zmyślony R.

Discussiones Mathematicae Probability and Statistics

2003

tom 23

nr 2

175-201

Explicit expressions of UMVUE for variance components are obtained for a class of models that include balanced cross nested random models. These estimators are used to derive tests for the nullity of variance components. Besides the usual F tests, generalized F tests will be introduced. The separation between both types of tests will be based on a general theorem that holds even for mixed models. It is shown how to estimate the p-value of generalized F tests.

Ograniczanie wyników

2 Discussiones Mathematicae Probability and Statistics

2 Fonseca M.

2 Mexia J.

2 Zmyślony R.

1 2003

1 2002

Wyniki wyszukiwania

Exact distribution for the generalized F tests

Estimators and tests for variance components in cross nested orthogonal designs