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

    Creator:
    Li, Yulan
    Resource Type:
    Dissertation
    Full Text:
    of the maximal invariant statistic Q'Y, but also functions of the sufficient statistics (U1 U1, UW2

  • The efficiency of smooth goodness-of-fit tests

    Creator:
    Kopecky, Kenneth James
    Resource Type:
    Dissertation
    Full Text:
    ABSTRACT OF THE THESIS OF Kenneth James Kopecky for the degree of Doctor of Philosophy in Statistics

  • Tools for environmental statistics : creative visualization and estimating variance from complex surveys

    Creator:
    Courbois, Jean-Yves Pip
    Abstract:
    Environmental monitoring poses two challenges to statistical analysis: complex data and complex survey designs. Monitoring for system health involves measuring physical, chemical, and biological properties that have complex relations. Exploring these relations is an integral part of understanding how systems are changing under stress. How does one explore high dimensional...
    Resource Type:
    Dissertation
    Full Text:
    Courbois for the degree of Doctor of Philosophy in Statistics presented on January 7. 2000. Title: Tools

  • Uses of Bayesian posterior modes in solving complex estimation problems in statistics

    Creator:
    Lin, Lie-fen
    Abstract:
    In Bayesian analysis, means are commonly used to summarize Bayesian posterior distributions. Problems with a large number of parameters often require numerical integrations over many dimensions to obtain means. In this dissertation, posterior modes with respect to appropriate measures are used to summarize Bayesian posterior distributions, using the Newton-Raphson method...
    Resource Type:
    Dissertation
    Full Text:
    estimation problems in statistics AN ABSTRACT OF THE THESIS OF Lie-Fen Lin for the degree of Doctor of

  • 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
    Full Text:
    ABSTRACT OF THE THESIS OF Caryn Marie Thompson for the degree of Doctor of Philosophy in Statistics

  • 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
    Full Text:
    Doctor of Philosophy in Statistics presented on October 14, 1997. Title: Applying Higher Order

  • Variable selection in semi-parametric models

    Creator:
    Jiang, Shuping
    Abstract:
    We consider two semiparametric regression models for data analysis, the stochastic additive model (SAM) for nonlinear time series data and the additive coefficient model (ACM) for randomly sampled data with nonparametric structure. We employ the SCAD-penalized polynomial spline estimation method for estimation and simultaneous variable selection in both models. It...
    Resource Type:
    Dissertation
    Full Text:
    OF THE DISSERTATION OF Shuping Jiang for the degree of Doctor of Philosophy in Statistics presented

  • Analysis of epidemiological data with covariate errors

    Creator:
    Delongchamp, Robert
    Abstract:
    In regression analysis, random errors in an explanatory variable cause the usual estimates of its regression coefficient to be biased. Although this problem has been studied for many years, routine methods have not emerged. This thesis investigates some aspects of this problem in the setting of analysis of epidemiological data....
    Resource Type:
    Dissertation
    Full Text:
    An Abstract of the Thesis of Robert Delongchamp for the degree of Doctor of Philosophy in Statistics

  • Neural network imputation : a new fashion or a good tool

    Creator:
    Amer, Safaa R.
    Abstract:
    Most statistical surveys and data collection studies encounter missing data. A common solution to this problem is to discard observations with missing data while reporting the percentage of missing observations in different output tables. Imputation is a tool used to fill in the missing values. This dissertation introduces the missing...
    Resource Type:
    Dissertation
    Full Text:
    of Doctor of Philosophy in Statistics presented on June 7, 2004. Title: Neural Network Imputation: A

  • Spatial graphical models with discrete and continuous components

    Creator:
    Che, Xuan
    Abstract:
    Graphical models use Markov properties to establish associations among dependent variables. To estimate spatial correlation and other parameters in graphical models, the conditional independences and joint probability distribution of the graph need to be specified. We can rely on Gaussian multivariate models to derive the joint distribution when all the...
    Resource Type:
    Dissertation
    Full Text:
    of Doctor of Philosophy in Statistics presented on August 16, 2012. Title: Spatial Graphical Models