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Filtering by: Subject Linear models (Statistics) Remove constraint Subject: Linear models (Statistics)

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Statistical methods for serially correlated zero-inflated proportions

Creator:

Sun, Luna

Abstract:

Proportion data falling in the continuum (0, 1) are very common in practice. It can also happen that an inflated number of zeros (or ones) occur with proportion data. There are extensive studies of zero-inflated data in the literature. Almost all of them, however, focus on zero-inflated count data. Furthermore,...

Resource Type:

Dissertation
Testing fixed effects in mixed linear models

Creator:

Rady, El-Houssainy Abdelbar

Abstract:

This dissertation is concerned with hypothesis testing for fixed effects in mixed linear models. Our primary emphasis is on mixed models when the class of covariance matrices has what we call a rich linear structure. Such models include mixed ANOVA models and regression models with heteroscedastic variances. For the majority...

Resource Type:

Dissertation
A method for estimation of generalized linear models when explanatory variables contain meaurement error

Creator:

Sauter, Roger M.

Abstract:

This thesis considers the problem of estimating the linear parameters of generalized linear models (GLM), especially binomial and Poisson regression models, when the explanatory variable is subject to measurement error. In this situation, the dependence of the response variable on the observed explanatory variable cannot typically be modeled as a...

Resource Type:

Dissertation
Diagnostic tools for overdispersion in generalized linear models

Creator:

Ganio-Gibbons, Lisa M.

Abstract:

Data in the form of counts or proportions often exhibit more variability than that predicted by a Poisson or binomial distribution. Many different models have been proposed to account for extra-Poisson or extra-binomial variation. A simple model includes a single heterogeneity factor (dispersion parameter) in the variance. Other models that...

Resource Type:

Dissertation
Electronic structure and optical properties of ZnO : bulk and surface

Creator:

Yan, Caihua

Resource Type:

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

Creator:

Li, Yulan

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
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
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
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

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Academic Affiliation

Statistics11
Statistics3
Physics1

Advisor

Birkes, David S.3
Schafer, Daniel W.2
Gitelman, Alix I.1
Hetherington, William M.1
Jansen, Henri J. F.1
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Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 1986 to 2015

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Committee Member

Ramsey, Fred2
Birkes, David1
Burton, Bob1
Butler, David1
Chelton, Dudley1
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Creator

Alnosaier, Waseem S.1
Ganio Gibbons, Lisa M.1
Li, Yulan1
Liu, Qing, 1961 1
Lyons, Benjamin1
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Date

Date range begin – Date range end

Current results range from 1986 to 2014

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Decade

2010-20191
2000-20091
1990-19997
1980-19893

Degree Field

Statistics11
Physics1

Degree Level

Doctoral12

Degree Name

Doctor of Philosophy (Ph.D.)12

File Format

application/pdf1

Language

English [eng]12

License

All rights reserved2

Non-Academic Affiliation

Oregon State University. Graduate School12

Peer Reviewed

No12

Resource Type

Dissertation12

Rights Statement

Copyright Not Evaluated10
In Copyright2

Subject

Linear models (Statistics)[remove]12
Analysis of variance2
Approximation theory2
Distribution (Probability theory)1
F-distribution1
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