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Now showing items 5-24 of 50

Completeness and sufficiency under normality in mixed model designs

VanLeeuwen, Dawn (1993-05-21)
Conditioning of unobserved period-specific abundances to improve estimation of dynamic populations

Dail, David (David Andrew) (2012-02-28)

Obtaining accurate estimates of animal abundance is made difficult by the fact that most animal species are detected imperfectly. Early attempts at building likelihood models that account for unknown detection probabil ...
Confidence intervals and tests for variance-component ratios in mixed linear models

Li, Yulan (1993-08-23)
Confidence intervals for variance components

Purdy, Kathleen G. (1998-05-08)

Measuring the source and magnitude of components of variation has important applications in industrial, environmental and biological studies. This thesis considers the problem of constructing confidence intervals for v ...
The design-based Empirical Orthogonal Functions model : an alternative for the analysis of spatio-temporal data

Munoz-Hernandez, Breda (1999-08-25)

Random processes are monitored over space and time by a network of stations distributed across a spatial region. Researchers have developed several analysis techniques to model the random process. Some of them require as ...
Diagnostics for the evaluation of spatial linear models

Thompson, Caryn M. (Caryn Marie) (1995-06-06)

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 b ...
Differential investment in twin offspring by female pronghorns (Antilocapra americana)

Van Vuren, Dirk H.; Bray, Martin P.; Heltzel, Jeannie M. (American Society of Mammalogists, 2013-02)

Differential investment in offspring has been reported for many mammals, often in the context of the Trivers– Willard model of male-biased investment, but evidence of differential investment in pronghorns (Antilocapra ...
An empirical evaluation of parameter approximation methods for phase-type distributions

Lang, Andreas (1994-08-11)
Estimating absence

Kincaid, Thomas M. (1997-11-25)

The problem addressed is absence of a class of objects in a finite set of objects, which is investigated by considering absence of a species and absence in relation to a threshold. Regarding absence of a species, we de ...
Estimating agreement coefficients from sample survey data

Lin, Hung-Mo; Kim, Hae-Young; Williamson, John M.; Lesser, Virginia M. (Statistics Canada, 2012-06)

We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the kappa coefficient from sample survey data. The estimates and their accompanying standard error need t ...
Estimation of discriminant analysis error rate for high dimensional data

Lebow, Patricia K. (1992-10-23)

Methodologies for data reduction, modeling, and classification of grouped response curves are explored. In particular, the thesis focuses on the analysis of a collection of highly correlated, highly dimensional respons ...
Explicit linear maximum likelihood estimation in mixed models

Wulff, Shaun S. (1999-06-02)

Mixed models have been widely used to model data from experiments which have fixed and random factors. Often there is interest in the estimation of fixed effects and variance components. The likelihood procedure is a g ...
Extensions for paired comparisons models

Kolsky, James D. (1996-05-03)

The Thurstone-Mosteller and Bradley-Terry Models are commonly used to rank items from paired comparisons experiments in which one item in each pair "wins," and to assess the importance of time-independent explanatory v ...
Extensions of the proportional hazards loglikelihood for censored survival data

Derryberry, DeWayne R. (1998-09-22)

The semi-parametric approach to the analysis of proportional hazards survival data is relatively new, having been initiated in 1972 by Sir David Cox, who restricted its use to hypothesis tests and confidence intervals ...
Extensions to Gaussian copula models

Fang, Yan (2012-05-01)

A copula is the representation of a multivariate distribution. Copulas are used to model multivariate data in many fields. Recent developments include copula models for spatial data and for discrete marginals. We will p ...
F-tests in partially balanced and unbalanced mixed linear models

Utlaut, Theresa L. (1999-02-11)

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 opt ...
Factors affecting bird counts and their influence on density estimates

McCracken, Marti L. (1993-07-22)

Variable area surveys are used in large geographic regions to estimate the density of birds distributed over a region. If some birds go undetected, a measure of the effective area surveyed, the amount of area occupied ...
Fisher and logistic discriminant function estimation in the presence of collinearity

O'Donnell, Robert P. (Robert Paul) (1990-09-27)

The relative merits of the Fisher linear discriminant function (Efron, 1975) and logistic regression procedure (Press and Wilson, 1978; McLachlan and Byth, 1979), applied to the two group discrimination problem under ...
The laplace approximation and inference in generalized linear models with two or more random effects

Pratt, James L. (1994-11-29)

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 est ...
Laplace approximations to likelihood functions for generalized linear mixed models

Liu, Qing, 1961- (1993-08-31)

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 need ...