Search Results - "Young, Phil D."

An integrated‐likelihood‐ratio confidence interval for a proportion based on underreported and infallible data by Wiley, Briceön, Elrod, Chris, Young, Phil D., Young, Dean M.

“…We derive and examine the interval width and coverage properties of an integrated‐likelihood‐ratio confidence interval for the binomial parameter p using a…”
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A COMPARISON OF REGULARIZED LINEAR DISCRIMINANT FUNCTIONS FOR POORLY-POSED CLASSIFICATION PROBLEMS by Thompson, L. A., Davis, Wade, Young, Phil D., Young, Dean M., Hill, Jeannie S.

“…For statistical classification problems where the total sample size is slightly greater than the feature dimension, regularized statistical discriminant rules…”
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Confidence ellipsoids for the primary regression coefficients in two seemingly unrelated regression models by Riggs, Kent R., Young, Phil D., Young, Dean M.

“…We derive two new confidence ellipsoids (CEs) and four CE variations for covariate coefficient vectors with nuisance parameters under the seemingly unrelated…”
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Bayesian adaptive two-stage design for determining person-time in Phase II clinical trials with Poisson data by Hand, Austin L., Scott, John A., Young, Phil D., Stamey, James D., Young, Dean M.

“…Adaptive clinical trial designs can often improve drug-study efficiency by utilizing data obtained during the course of the trial. We present a novel Bayesian…”
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Characterizations of Noncentral Chi-Squared-Generating Covariance Structures for a Normally Distributed Random Vector by Young, Phil D., Young, Dean M.

“…Let y ∼ N n μ , V , where y is a n ×1 random vector and V is a n × n covariance matrix. We explicitly characterize the general form of the covariance structure…”
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A comparison of regularization methods applied to the linear discriminant function with high-dimensional microarray data by Ramey, John A., Young, Phil D.

“…Classification of gene expression microarray data is important in the diagnosis of diseases such as cancer, but often the analysis of microarray data presents…”
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A Brief Derivation of Necessary and Sufficient Conditions for a Family of Matrix Quadratic Forms to Have Mutually Independent Non-Central Wishart Distributions by Young, Phil D., Patrick, Joshua D., Young, Dean M.

“…We provide a new, concise derivation of necessary and sufficient conditions for a real matrix-normally distributed matrix X and we characterize the general…”
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A derivation of the multivariate singular skew-normal density function by Young, Phil D., Harvill, Jane L., Young, Dean M.

“…We prove the existence of a multivariate singular skew-normal density function, derive its moment generating function, and demonstrate that the skewness…”
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Estimation-Equivalent and Dispersion-Equivalent Error Covariance Matrices for the General Linear Model by Young, Phil D., Young, Dean M.

“…We give a new, very concise derivation of an explicit characterization representation of the general nonnegative-definite error covariance matrix for a…”
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On the independence of singular multivariate skew-normal sub-vectors by Young, Phil D., Kahle, David J., Young, Dean M.

“…This article provides necessary and sufficient conditions that characterize independence among sub-vectors of a singular multivariate skew-normal random vector…”
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An Alternative Matrix Skew-Normal Random Matrix and Some Properties by Young, Phil D., Patrick, Joshua D., Young, Dean M., Ramey, John A.

“…We propose an alternative skew-normal random matrix, which is an extension of the multivariate skew-normal vector parameterized in Vernic (A Stiint Univ…”
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Bayesian Assessment of a Binary Measurement System with Baseline Data by Eschmann, Mark, Stamey, James D., Young, Phil D.

“…Binary measurement systems that classify parts as either pass or fail are widely used. In industrial settings, many previously passed and failed parts are…”
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Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling by Kahle, David J., Young, Phil D., Greer, Brandi A., Young, Dean M.

“…Wald, profile likelihood, and marginal likelihood confidence intervals are derived for the ratio of two Poisson rates in the presence of one-way differentially…”
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Characterizations of Noncentral Chi-Squared-Generating Covariance Structures for a Normally Distributed Random by Young, Phil D., Young, Dean M.

“…Let y ~ N n (µ, V), where y is a n × 1 random vector and V is a n × n covariance matrix. We explicitly characterize the general form of the covariance…”
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Topics in dimension reduction and missing data in statistical discrimination by Young, Phil D

“…This dissertation is comprised of four chapters. In the first chapter, we define the concept of linear dimension reduction, review some popular linear…”
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High-Dimensional Regularized Discriminant Analysis by Ramey, John A, Stein, Caleb K, Young, Phil D, Young, Dean M

“…Regularized discriminant analysis (RDA), proposed by Friedman (1989), is a widely popular classifier that lacks interpretability and is impractical for…”
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