D. Young

发表

Results in statistical discriminant analysis: a review of the former Soviet union literature

S. Raudys, D. Young, 2004 .

Power Comparisons of Eight Tests for Sphericity in Repeated Measures Designs

R. Kirk, D. Young, S. Seaman, 1992 .

C376. An algorithm for generating covariance matrices with specified departures from sphericity

D. Young, J. Cornell, T. L. Bratcher, 1990 .

High-Dimensional Regularized Discriminant Analysis

Phil D. Young, Caleb K. Stein, D. Young, 2016, 1602.01182.

Statistical inference with partial prior information based on a Gauss-type inequality

D. Young, J. Seaman, L. Meaux, 2002 .

Probability inequalities for continuous unimodal random variables with finite support

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

On the robustness of the extreme deviate test for a single multivariate outlier against heavy-tailed distributions

D. Young, S. Seaman, D. Turner, 1989 .

Nonnegative-definite covariance structures for which the blu, wls, and ls estimators are equal

D. Young, P. Odell, W. Hahn, 2000 .

Estimation-Equivalent Covariance Structures for the Least Squares and Minque Estimators of the Linear Model Variance

Stephen M. Scariano, D. Young, C. Hallum, 2005 .

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

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

Linear Dimension Reduction for Multiple Heteroscedastic Multivariate Normal Populations

Phil D. Young, S. Ounpraseuth, D. Young, 2015 .

Bayesian Methods in Finite Population Sampling

D. Young, Mark Hamner, 2001 .

A BAYESIAN HIERARCHICAL MODEL FOR POISSON RATE AND REPORTING‐PROBABILITY INFERENCE USING DOUBLE SAMPLING

Doyle H. Boese, D. Young, J. Stamey, 2006 .

A comparison of parametric conditional error-rate estimators for the two-group linear discriminant function

D. Young, J. Seaman, L. Meaux, 2001 .

Bayesian Predictive Probability Functions for Count Data that are Subject to Misclassification

D. Young, J. Stamey, T. L. Bratcher, 2004 .

Confidence Intervals for the Risk Ratio Using Double Sampling with Misclassified Binomial Data

D. Young, D. Rahardja, 2011 .

Bayesian interval estimation for the difference of two independent Poisson rates using data subject to under‐reporting

D. Young, J. Stamey, B. Greer, 2011 .

Moments of Discrete Probability Distributions Derived Using a Differential Operator

D. Young, J. Seaman, T. Boullion, 1992 .

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 .

Dimension reduction for predictive discrimination

Virgil R. Marco, D. Young, P. Odell, 1986 .

A characterization of the independence - distribution - preserving covariance structure for the multivariate maximum squared - radii statistic

D. Young, J. Seaman, L. Meaux, 1992 .

A characterization of nonnegative-definite independence distribution-preserving covariance structures for the maximum squared-radii statistic

D. Young, J. Seaman, L. Meaux, 1996 .

Independence-distribution-preserving dependency structures for the modified likelihood ratio test for detecting unequal covariance matrices

D. Young, J. Seaman, L. Meaux, 1994 .

Confidence ellipsoids for the primary regression coefficients in two seemingly unrelated regression models

Phil D. Young, D. Young, K. Riggs, 2016 .

An Alternative Matrix Skew-Normal Random Matrix and Some Properties

Phil D. Young, D. Young, J. A. Ramey, 2019, Sankhya A.

Ramsey-type theorems for sets satisfying a geometric regularity condition

D. Young, P. Hagelstein, D. Herden, 2017 .

Bayesian Inference of Risk Ratio of Two Proportions Using a Double Sampling Scheme

D. Young, D. Rahardja, 2011, Journal of biopharmaceutical statistics.

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 sample‐size determination for inference on two binomial populations with no gold standard classifier

John W Seaman, James D Stamey, Dean M Young, 2005, Statistics in medicine.

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

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

Improved Kolmogorov inequalities for the binomial distribution

D. Young, J. Seaman, D. Turner, 1992 .

A note on a Kolmogorov inequality

Virgil R. Marco, D. Young, J. Seaman, 1987 .

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..

Maximum variance unimodal distributions

John W. Seaman, Dean M Young, D. Young, 1985 .

A note on improved variance bounds for certain bounded unimodal distributions

Virgil R. Marco, D. Young, J. Seaman, 1986 .

Independence Distribution Preserving Covariance Structures for the Multivariate Linear Model

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

Characterizations of Noncentral Chi-Squared-Generating Covariance Structures for a Normally Distributed Random Vector

Phil D. Young, D. Young, 2016, Sankhya A.

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 .

Independence distribution preserving joint covariance structures for the multivariate two-group case

D. Young, D. Turner, 2001 .

Multivariate regression analysis with dependent observations: conditions for the invariance of the distribution of the Lawley-Hotelling test for the model utility

D. Young, J. Seaman, L. Meaux, 1994 .

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..

Two Explicit Characterizations of the General Nonnegative-Definite Covariance Matrix Structure for Equality of BLUEs, WLSEs, and LSEs

Phil D. Young, D. Young, J. Patrick, 2020 .

Estimation-Equivalent and Dispersion-Equivalent Error Covariance Matrices for the General Linear Model

Phil D. Young, D. Young, 2018 .

POLYHEDRON GRAPHS FOR DISPLAYING MULTIVARIATE DATA

D. Young, J. Seaman, D. Turner, 1987 .

Classic group testing with cost for grouping and testing

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

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 .

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 .

Estimation of disease prevalence, true positive rate, and false positive rate of two screening tests when disease verification is applied on only screen-positives: a hierarchical model using multi-center data.

Marc Arbyn, James D Stamey, Dean M Young, 2012, Cancer epidemiology.

Quadratic discrimination: Some results on optimal low-dimensional representation

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

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

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

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..

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..

Bayesian Sample Size Determination for Estimating a Poisson Rate with Underreported Data

D. Young, J. Stamey, John W. Seaman Jr., 2004 .

Bayesian Approach to Ranking and Selection for a Binary Measurement System

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

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.

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..

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..

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..

A characterization of discrete unimodality with applications to variance upper bounds

D. Young, J. Seaman, S. E. Navard, 1993 .

Bayesian Estimation of Intervention Effect with Pre- and Post-Misclassified Binomial Data

D. Young, J. Seaman, J. Stamey, 2007, Journal of biopharmaceutical statistics.

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

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

Some Results on Error Rates for Quadratic Discrimination with Known Population Parameters

Virgil R. Marco, D. Young, D. Turner, 1987 .

On the independence of singular multivariate skew-normal sub-vectors

Phil D. Young, D. Young, D. Kahle, 2017 .

Bayesian Inference for a Correlated 2 × 2 Table with a Structural Zero

D. Young, J. Seaman, J. Stamey, 2006, Biometrical journal. Biometrische Zeitschrift.

A Bayesian approach to adjust for diagnostic misclassification between two mortality causes in Poisson regression

D. Young, J. Seaman, J. Stamey, 2008, Statistics in medicine.

Estimator models for combining vector estimators

Patrick L. Odell, D. Young, P. Odell, 1989 .

Bayesian Subset Selection of Binomial Parameters Using Possibly Misclassified Data

D. Young, J. Stamey, T. L. Bratcher, 2007 .

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..

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

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

Imputation techniques for incomplete data in quadratic discriminant analysis

S. Ounpraseuth, D. Young, P. Moore, 2012 .

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..

SFA ScholarWorks SFA ScholarWorks

D. Young, K. Riggs, Jeremy J. Becnel, 2022 .

Extended critical vawes of the multivariate extreme deviate test for detecting a single spurious observation

D. Young, Linda W. Jennings, 1988 .

Conditions for invariance of the multivariate versions of grubbs’ test and bartlett’s test under a general dependency structure

R. Pavur, D. Young, 1991 .

On the effect of correlation and unequal variances in detecting a spurious observation

Virgil R. Marco, R. Pavur, D. Young, 1989 .

A note on the effect of simple equicorrelation in detecting a spurious multivariate observation

Virgil R. Marco, D. Young, D. 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 .