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Filtering by: Academic Affiliation Statistics Remove constraint Academic Affiliation: Statistics Decade 1990-1999 Remove constraint Decade: 1990-1999 Degree Level Doctoral Remove constraint Degree Level: Doctoral Subject Linear models (Statistics) Remove constraint Subject: Linear models (Statistics)

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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
Applying higher order asymptotics to mixed linear models

Creator:

Lyons, Benjamin

Abstract:

Mixed linear models are a time honored method of analyzing correlated data. However, there is still no method of calculating exact confidence intervals or p-values for an arbitrary parameter in any mixed linear model. Instead, researchers must use either specialized approximate and exact tests that have been developed for particular...

Resource Type:

Dissertation
Diagnostics for the evaluation of spatial linear models

Creator:

Thompson, Caryn M. (Caryn Marie)

Abstract:

Geostatistical linear interpolation procedures such as kriging require knowledge of the covariance structure of the spatial process under investigation. In practice, the covariance of the process is unknown, and must be estimated from the available data. As the quality of the resulting predictions, and associated mean square prediction errors, depends...

Resource Type:

Dissertation
The laplace approximation and inference in generalized linear models with two or more random effects

Creator:

Pratt, James L.

Abstract:

This thesis proposes an approximate maximum likelihood estimator and likelihood ratio test for parameters in a generalized linear model when two or more random effects are present. Substantial progress in parameter estimation for such models has been made with methods involving generalized least squares based on the approximate marginal mean...

Resource Type:

Dissertation
Laplace approximations to likelihood functions for generalized linear mixed models

Creator:

Liu, Qing, 1961-

Abstract:

This thesis considers likelihood inferences for generalized linear models with additional random effects. The likelihood function involved ordinarily cannot be evaluated in closed form and numerical integration is needed. The theme of the thesis is a closed-form approximation based on Laplace's method. We first consider a special yet important case...

Resource Type:

Dissertation
Confidence intervals and tests for variance-component ratios in mixed linear models

Creator:

Li, Yulan

Resource Type:

Dissertation

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Academic Affiliation

Statistics[remove]6

Advisor

Birkes, David S.2
Peters, Dawn1
Pierce, Donald A.1
Ramsey, Fred L.1
Schafer, Daniel1
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Commencement Year

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Current results range from 1994 to 1999

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Committee Member

Birkes, David1
Butler, David1
Chelton, Dudley1
Lesser, Virginia1
Murtaugh, Paul1
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Creator

Li, Yulan1
Liu, Qing, 1961 1
Lyons, Benjamin1
Pratt, James L.1
Thompson, Caryn M. (Caryn Marie)1
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Date

Date range begin – Date range end

Current results range from 1993 to 1999

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Decade

1990-1999[remove]6

Degree Field

Statistics6

Degree Level

Doctoral[remove]6

Degree Name

Doctor of Philosophy (Ph.D.)6

Language

English [eng]6

Non-Academic Affiliation

Oregon State University. Graduate School6

Peer Reviewed

No6

Resource Type

Dissertation6

Rights Statement

Copyright Not Evaluated6

Subject

Linear models (Statistics)[remove]6
Analysis of variance1
Approximation theory1
F-distribution1
Gaussian quadrature formulas1
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