Dean M. Young

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A comparison of asymptotic error rate expansions for the sample linear discriminant function

F. J. Wyman, Dean M. Young, D. W. Turner, 1990, Pattern Recognit..

COMPARISONS OF SEVERAL GRAPHICAL METHODS FOR REPRESENTING MULTIVARIATE DATA

Dean M. Young, D. W. Turner, C. G. Hamner, 1987 .

Parameter Subset Selection and Multiple Comparisons of Poisson Rate Parameters with Misclassification

Dean M. Young, James D. Stamey, Tom L. Bratcher, 2002, Comput. Stat. Data Anal..

Bayesian credible intervals for the ratio of two independent poisson rates using data with under-reporting

Dean M. Young, Phil D. Young, Brandi A. Greer, 2012, Model. Assist. Stat. Appl..

Optimal linear feature selection for a general class of statistical pattern recognition models

Dean M. Young, Patrick L. Odell, Virgil R. Marco, 1985, Pattern Recognit. Lett..

On the robustness of the equal-mean discrimination rule with uniform covariance structure against serially correlated training data

Dean M. Young, Virgil R. Marco, Danny W. Turner, 1988, Pattern Recognit..

Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling

Dean M. Young, Phil D. Young, Brandi A. Greer, 2016, Comput. Stat. Data Anal..

Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme

Dean M. Young, Dewi Rahardja, D. Young, 2010, Comput. Stat. Data Anal..

Predictive discrimination for autoregressive processes

Dean M. Young, Virgil R. Marco, Danny W. Turner, 1988, Pattern Recognit. Lett..

Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard

Dean M. Young, James D. Stamey, Doyle H. Boese, 2008, Comput. Stat. Data Anal..

Bayesian adaptive two-stage design for determining person-time in Phase II clinical trials with Poisson data

John Scott, Dean M. Young, James D. Stamey, 2016 .

Estimation and prediction in a semi-markov model for evasive vehicle movement along a fixed path

Dean M. Young, Virgil R. Marco, Danny W. Turner, 1989 .

Bayesian Interval Estimation for the Difference in TPRs and FPRs of Two Diagnostic Tests with Unverified Negatives

Dean M. Young, James D. Stamey, Eileen M. Stock, 2015, Commun. Stat. Simul. Comput..

Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification

Dean M. Young, James D. Stamey, Doyle H. Boese, 2006, Comput. Stat. Data Anal..

Bayesian Approach to Ranking and Selection for a Binary Measurement System

Dean M. Young, James D. Stamey, Mark Eschmann, 2019, Open Journal of Statistics.

Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data

Dean M. Young, Dewi Rahardja, D. Young, 2011, Comput. Stat. Data Anal..

Bayesian sample-size determination for two independent Poisson rates

Dean M. Young, James D. Stamey, Austin L. Hand, 2011, Comput. Methods Programs Biomed..

Classic group testing with cost for grouping and testing

Dean M. Young, James D. Stamey, Danny W. Turner, 2009, Comput. Math. Appl..

A formulation and comparison of two linear feature selection techniques applicable to statistical classification

Dean M. Young, Patrick L. Odell, 1984, Pattern Recognit..

A Monte Carlo Comparison of Two Linear Dimension Reduction Matrices for Statistical Discrimination

Dean M. Young, J. Wade Davis, Karin B. Ernstrom-Keim, 2021, Journal of Data Science.

Dimension Reduction for Detecting a Difference in Two High-Dimensional Mean Vectors

Dean M. Young, Phil D. Young, Whitney V. Worley, 2021 .

A Comparison Of Regularized Linear Discriminant Functions For Poorly-Posed Classification Problems

Dean M. Young, Phil D. Young, L. A. Thompson, 2021, Journal of Data Science.

A representation of the general common solution to the matrix equations A1XB1 = C1 and A2XB2 = C2 with applications

Dean M. Young, P. L. Odell, D. Young, 2001 .

Feature-subset selection for statistical classification problems involving unequal covariance matrices

Dean M. Young, D. Young, Patrick L Ode, 1986 .

Independence Distribution Preserving Covariance Structures for the Multivariate Linear Model

Dean M. Young, John W. Seaman, D. Young, 1999 .

A ratio-of-uniforms method for generating exponential power variates

Dean M. Young, John W. Seaman, Danny W. Turner, 1990 .

A Non-Parametric Variable Selection Algorithm for Allocatory Linear Discriminant Analysis

Dean M. Young, Samuel L. Seaman, D. Young, 1990 .

Interval estimation for misclassification rate parameters in a complementary Poisson model

Dean M. Young, James D. Stamey, Kent Riggs, 2011 .

The Euclidean distance classifier: an alternative to the linear discriminant function

Dean M. Young, Virgil R. Marco, Danny W. Turner, 1987 .

A note on the rubustness of the lilliefors test for univariate normality with respect to equicorrelated data

Dean M. Young, Danny W. Turner, D. Young, 1986 .

Quadratic discrimination: Some results on optimal low-dimensional representation

Dean M. Young, Patrick L. Odell, Virgil R. Marco, 1987 .

A Kolmogorov inequality for the sum of independent Bernoulli random variables with unequal means

Dean M. Young, John W. Seaman, Danny W. Turner, 1995 .

An Empirical Comparison between Objective and Subjective Measures of the Product Innovation Domain of Corporate Entrepreneurship

Dean M. Young, Daniel F. Jennings, D. Young, 1990 .

Asymptotic Expansions and Estimation of the Expected Error Rate for Equal‐Mean Discrimination with Uniform Covariance Structure

Dean M. Young, Virgil R. Marco, Danny W. Turner, 1987 .

Probability inequalities for continuous unimodal random variables with finite support

Dean M. Young, John W. Seaman, Virgil R. Marco, 1988 .

Bayesian sample-size determination for one and two Poisson rate parameters with applications to quality control

Dean M. Young, James D. Stamey, Tom L. Bratcher, 2006 .