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Filtering by: Advisor Burch, David S. Degree Name Doctor of Philosophy (Ph.D.) Subject Linear models (Statistics)

F-tests in partially balanced and unbalanced mixed linear models

Creator:

Utlaut, Theresa L.

Abstract:

This dissertation considers two approaches for testing hypotheses in unbalanced mixed linear models. The first approach is to construct a design with some type of structure or "partial" balance, so that some of the optimal properties of a completely balanced design hold. It is shown that for a particular type...

Resource Type:

Dissertation

Full Text:

Balanced and Unbalanced Mixed Linear Models Abstract approved: David S. Birkes This dissertation
Confidence intervals and tests for variance-component ratios in mixed linear models

Creator:

Li, Yulan

Resource Type:

Dissertation

Full Text:

-Component Ratios in Mixed Linear Models Abstract approved: David R. Thomas/David S. Birkes Mixed linear
Kenward-Roger approximate F test for fixed effects in mixed linear models

Creator:

Alnosaier, Waseem S.

Abstract:

For data following a balanced mixed Anova model, the standard Anova method typically leads to exact F tests of the usual hypotheses about fixed effects. However, for most unbalanced designs with most hypotheses, the Anova method does not produce exact tests, and approximate methods are needed. One approach to approximate...

Resource Type:

Dissertation

Full Text:

Effects in Mixed Linear Models. Abstract approved: David S. Birkes