Dean M. Young

According to our database, Dean M. Young authored at least 17 papers between 1982 and 2016.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2016

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

David J. Kahle, Philip D. Young, Brandi A. Greer, Dean M. Young

Comput. Stat. Data Anal., 2016

2015

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

Eileen M. Stock, James D. Stamey, Dean M. Young

Commun. Stat. Simul. Comput., 2015

2012

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

Brandi A. Greer, Dean M. Young, Philip D. Young

Model. Assist. Stat. Appl., 2012

2011

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

Dewi Rahardja, Dean M. Young

Comput. Stat. Data Anal., 2011

Bayesian sample-size determination for two independent Poisson rates.

Austin L. Hand, James D. Stamey, Dean M. Young

Comput. Methods Programs Biomed., 2011

2010

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

Dewi Rahardja, Dean M. Young

Comput. Stat. Data Anal., 2010

2009

Classic group testing with cost for grouping and testing.

Danny W. Turner, James D. Stamey, Dean M. Young

Comput. Math. Appl., 2009

2008

Breakup patterns for binary drop collisions.

Firat Y. Testik, Dean M. Young

J. Vis., 2008

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

James D. Stamey, Doyle H. Boese, Dean M. Young

Comput. Stat. Data Anal., 2008

2006

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

Doyle H. Boese, Dean M. Young, James D. Stamey

Comput. Stat. Data Anal., 2006

2004

Parameter subset selection and multiple comparisons of Poisson rate parameters with misclassification.

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

Comput. Stat. Data Anal., 2004

1990

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

Frank J. Wyman, Dean M. Young, Danny W. Turner

Pattern Recognit., 1990

1988

Predictive discrimination for autoregressive processes.

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

Pattern Recognit. Lett., 1988

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

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

Pattern Recognit., 1988

1985

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

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

Pattern Recognit. Lett., 1985

1984

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

Dean M. Young, Patrick L. Odell

Pattern Recognit., 1984

1982

Linear dimension reduction and Bayes classification with unknown population parameters.

Jack D. Tubbs, W. A. Coberly, Dean M. Young

Pattern Recognit., 1982