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Filtering by: Creator Kellogg, Royal S. Remove constraint Creator: Kellogg, Royal S. Academic Affiliation Statistics Remove constraint Academic Affiliation: Statistics Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

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  • On the theory of (M,S) optimality in incomplete block designs

    Creator:
    Jacroux, Michael Allen
    Resource Type:
    Dissertation
    Full Text:
    On the theory of (M,S) optimality in incomplete block

  • 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

  • Unconditional estimating equation approaches for missing data

    Creator:
    Lu, Lin
    Abstract:
    Missing data can lead to biased and inefficient estimation if the missing mechanism is not taken into account in the analysis. In this dissertation we propose two estimators that, under fairly general conditions, are asymptotically unbiased. The first proposed estimator assume the data are missing at random (MAR) and does...
    Resource Type:
    Dissertation
    Full Text:
    for Missing Data. Abstract approved: Annie Qu David S. Birkes Missing data can lead to biased and

  • Statistical aspects of two measurement problems : defining taxonomic richness and testing with unanchored responses

    Creator:
    Ritter, Kerry
    Abstract:
    Statisticians often focus on sampling or experimental design and data analysis while paying less attention to how the response is measured. However, the ideas of statistics may be applied to measurement problems with fruitful results. By examining the errors of measured responses, we may gain insight into the limitations of...
    Resource Type:
    Dissertation
    Full Text:
    approved: N S ttU uhart David Birkes Statisticians often focus on sampling or experimental design and

  • A Bayesian approach to nonresponse in sample surveys

    Creator:
    Smouse, Evan Paul
    Abstract:
    A common problem in postal surveys of human populations arises when some of the sampled people fail to respond to the questionnaire. The problem is that the answers provided by the respondents may not be typical of the answers the nonrespondents would provide if these had been solicited more successfully....
    Resource Type:
    Dissertation
    Full Text:
    auxiliary variables, that the characteristic of interest is linearly related to the auxiliary variable(s

  • Performance of some tests for bivariate independence, interchangeability, and equality of distributions of ratios

    Creator:
    Ferguson, Nancy Lo
    Abstract:
    The purpose of this thesis is to derive and compare asymptotic performances of certain tests of independence, interchangeability and equality of the distributions of_ratios Y/X for positive variates and Y with joint c.d.f. H(x,y) of particular forms. Three bivariate families, Morgenstern, Plackett, and Moran, are considered which permit marginal c.d.f.'s...
    Resource Type:
    Dissertation
    Full Text:
    marginal c.d.f.'s F(x) and G(y) of specified forms. For testing independence of X and Y, asymptotic

  • Matrix-Free Methods in Spatial-Temporal Modeling

    Creator:
    Wang, Chunxiao
    Abstract:
    Spatial-temporal data arises in many applications, for example, environment sciences and disease mapping. This dissertation focuses on Gaussian spatial-temporal data. To make statistical inference for Gaussian spatial-temporal data, we developed a special class of spatial-temporal Gaussian state-space models in which the state vectors are constructed following spatial-temporal Gaussian autoregressions that...
    Resource Type:
    Dissertation
    Full Text:
    Summary of simulation study with spatial data generated in an 128× 128 array with s = 10. The standard

  • Generalized linear mixed models with censored covariates

    Creator:
    Giovanini, John
    Abstract:
    This dissertation is about statistical methods for data analysis using generalized linear mixed models (GLMMs) with censored covariates. Special attention in given to the particular problem of inference about age-specific reproductive success in wild animal populations using some animals with known ages and some animals with ages only known to...
    Resource Type:
    Dissertation
    Full Text:
    to thank all the faculty, staff, and student s of the Oregon State University Statistics Department

  • Local Signal Detection on Irregular Domains with Spatially Varying Coefficient Model

    Creator:
    Zhang, Chengzhu
    Abstract:
    In areas such as spatial analysis and time series analysis, it is essential to understand and quantify spatial or temporal heterogeneity. In this dissertation, we focus on a spatially varying coefficient model, in which spatial heterogeneity is accommodated by allowing the regression coefficients to vary in a given spatial domain....
    Resource Type:
    Dissertation
    Full Text:
    (·)s are unknown bivariate varying coefficient functions. It is a flexible semi- parametric model, in

  • Statistics in Education: Contributions to Teaching and Data Analysis

    Creator:
    Totty, Njesa
    Abstract:
    In this dissertation we present a compilation of the research conducted during the author’s doctoral program. In the first part, we discuss a case study regarding the impact of scholar-ships on student success at Oregon State University (OSU). Specifically, we look at the grad-uation and retention rates and aim to...
    Resource Type:
    Dissertation
    Full Text:
    Improve SMOTE . . . . . . . . . . . . . . . . 101 4 The Strategic SMOTE (S-SMOTE) Algorithm: A Simulation