| Year |
Citation |
Score |
| 2019 |
Eschmann M, Stamey JD, Young PD, Young DM. Bayesian Approach to Ranking and Selection for a Binary Measurement System Open Journal of Statistics. 9: 436-444. DOI: 10.4236/Ojs.2019.94029 |
0.41 |
|
| 2018 |
Young PD, Young DM. Estimation-Equivalent and Dispersion-Equivalent Error Covariance Matrices for the General Linear Model American Journal of Mathematical and Management Sciences. 37: 51-55. DOI: 10.1080/01966324.2017.1373611 |
0.361 |
|
| 2017 |
Young PD, Kahle DJ, Young DM. On the independence of singular multivariate skew-normal sub-vectors Statistics & Probability Letters. 122: 58-62. DOI: 10.1016/J.Spl.2016.08.021 |
0.31 |
|
| 2016 |
Young PD, Young DM, Ounpraseuth ST. A Comparison of Two Linear Discriminant Analysis Methods That Use Block Monotone Missing Training Data Open Journal of Statistics. 6: 172-185. DOI: 10.4236/Ojs.2016.61015 |
0.684 |
|
| 2016 |
Riggs KR, Young PD, Young DM. Confidence ellipsoids for the primary regression coefficients in two seemingly unrelated regression models Statistical Methodology. 32: 1-13. DOI: 10.1016/J.Stamet.2016.01.004 |
0.473 |
|
| 2016 |
Young PD, Harvill JL, Young DM. A derivation of the multivariate singular skew-normal density function Statistics and Probability Letters. 117: 40-45. DOI: 10.1016/J.Spl.2016.04.024 |
0.323 |
|
| 2016 |
Kahle DJ, Young PD, Greer BA, Young DM. Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling Computational Statistics and Data Analysis. 95: 122-132. DOI: 10.1016/J.Csda.2015.09.013 |
0.803 |
|
| 2015 |
Ounpraseuth ST, Young PD, Zyl JSv, Nelson TW, Young DM. Linear Dimension Reduction for Multiple Heteroscedastic Multivariate Normal Populations Open Journal of Statistics. 5: 311-333. DOI: 10.4236/Ojs.2015.54033 |
0.646 |
|
| 2015 |
Stock EM, Stamey JD, Young DM. Bayesian interval estimation for the difference in TPRs and FPRs of two diagnostic tests with unverified negatives Communications in Statistics: Simulation and Computation. 44: 505-524. DOI: 10.1080/03610918.2013.783067 |
0.708 |
|
| 2015 |
Young PD, Young DM, Odell PL. Quadratic formulae for certain quadratic matrix equations Mathematical Scientist. 40: 35-41. |
0.629 |
|
| 2013 |
Riggs K, Young D, Becnel JJ. Probability Inequalities for the Sum of Random Variables When Sampling Without Replacement International Journal of Statistics and Probability. 2: 75. DOI: 10.5539/Ijsp.V2N4P75 |
0.793 |
|
| 2012 |
Stock EM, Stamey JD, Sankaranarayanan R, Young DM, Muwonge R, Arbyn M. 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. Cancer Epidemiology. 36: 153-60. PMID 21856264 DOI: 10.1016/J.Canep.2011.07.001 |
0.635 |
|
| 2012 |
Greer BA, Young DM, Young PD. Bayesian credible intervals for the ratio of two independent poisson rates using data with under-reporting Model Assisted Statistics and Applications. 7: 131-142. DOI: 10.3233/Mas-2012-0231 |
0.814 |
|
| 2012 |
Ounpraseuth S, Moore PC, Young DM. Imputation techniques for incomplete data in quadratic discriminant analysis Journal of Statistical Computation and Simulation. 82: 863-877. DOI: 10.1080/00949655.2011.559471 |
0.667 |
|
| 2011 |
Rahardja D, Young DM. Bayesian inference of risk ratio of two proportions using a double sampling scheme. Journal of Biopharmaceutical Statistics. 21: 393-404. PMID 21442515 DOI: 10.1080/10543401003687137 |
0.816 |
|
| 2011 |
Hand AL, Stamey JD, Young DM. Bayesian sample-size determination for two independent Poisson rates. Computer Methods and Programs in Biomedicine. 104: 271-7. PMID 21146897 DOI: 10.1016/J.Cmpb.2010.10.010 |
0.385 |
|
| 2011 |
Rahardja D, Young DM. Confidence Intervals for the Risk Ratio Using Double Sampling with Misclassified Binomial Data Journal of Data Science. 9: 529-548. DOI: 10.6339/Jds.2011.09(4).944 |
0.502 |
|
| 2011 |
Greer BA, Stamey JD, Young DM. Bayesian interval estimation for the difference of two independent Poisson rates using data subject to under-reporting Statistica Neerlandica. 65: 259-274. DOI: 10.1111/J.1467-9574.2011.00483.X |
0.818 |
|
| 2011 |
Riggs K, Young D, Stamey J. Interval estimation for misclassification rate parameters in a complementary poisson model Journal of Statistical Computation and Simulation. 81: 1145-1156. DOI: 10.1080/00949651003762063 |
0.825 |
|
| 2011 |
Rahardja D, Young DM. Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data Computational Statistics and Data Analysis. 55: 813-823. DOI: 10.1016/J.Csda.2010.07.004 |
0.828 |
|
| 2010 |
Greer BA, Young DM, Stamey JD. Bayesian inference for comparing two Poisson rates using data subject to underreporting and validation data Statistical Methodology. 7: 98-108. DOI: 10.1016/J.Stamet.2009.10.006 |
0.822 |
|
| 2010 |
Rahardja D, Young DM. Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme Computational Statistics and Data Analysis. 54: 1281-1287. DOI: 10.1016/J.Csda.2009.11.011 |
0.816 |
|
| 2009 |
Holt MM, Stamey JD, Seaman JW, Young DM. Performance and sample size requirements of Bayesian methods for binary outcomes in fixed-dose combination drug studies. Journal of Biopharmaceutical Statistics. 19: 120-32. PMID 19127471 DOI: 10.1080/10543400802527916 |
0.646 |
|
| 2009 |
Riggs K, Young D, Stamey J. Likelihood-based confidence intervals for complementary poisson rate parameters with misclassified data Communications in Statistics - Theory and Methods. 38: 159-172. DOI: 10.1080/03610920802178405 |
0.833 |
|
| 2008 |
Stamey JD, Young DM, Seaman JW. A Bayesian approach to adjust for diagnostic misclassification between two mortality causes in Poisson regression. Statistics in Medicine. 27: 2440-52. PMID 17979218 DOI: 10.1002/Sim.3134 |
0.727 |
|
| 2008 |
Stamey JD, Boese DH, Young DM. Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard Computational Statistics and Data Analysis. 52: 1335-1346. DOI: 10.1016/J.Csda.2007.08.020 |
0.801 |
|
| 2008 |
Stamey JD, Young DM, Seaman JW. Bayesian estimation of a standardized mortality ratio with missing death certificates South African Statistical Journal. 42: 47-64. |
0.601 |
|
| 2007 |
Stamey JD, Seaman JW, Young DM. Bayesian estimation of intervention effect with pre- and post-misclassified binomial data. Journal of Biopharmaceutical Statistics. 17: 93-108. PMID 17219757 DOI: 10.1080/10543400601001493 |
0.685 |
|
| 2007 |
Stamey JD, Young DM, Cecchini M. A double-sampling approach for maximum likelihood estimation for a Poisson rate parameter with visibility-biased data Statistica. 63: 3-11. DOI: 10.6092/Issn.1973-2201/334 |
0.525 |
|
| 2007 |
Stamey JD, Bratcher TL, Young DM. Bayesian subset selection of binomial parameters using possibly misclassified data Journal of Modern Applied Statistical Methods. 6: 551-560. DOI: 10.22237/Jmasm/1193890740 |
0.791 |
|
| 2006 |
Stamey JD, Seaman JW, Young DM. Bayesian inference for a correlated 2 x 2 table with a structural zero. Biometrical Journal. Biometrische Zeitschrift. 48: 233-44. PMID 16708775 DOI: 10.1002/Bimj.200510207 |
0.684 |
|
| 2006 |
Stamey JD, Young DM, Boese D. A bayesian hierarchical model for poisson rate and reporting-probability intference using double sampling Australian and New Zealand Journal of Statistics. 48: 201-212. DOI: 10.1111/J.1467-842X.2006.00434.X |
0.805 |
|
| 2006 |
Stamey JD, Young DM, Bratcher TL. Bayesian sample-size determination for one and two Poisson rate parameters with applications to quality control Journal of Applied Statistics. 33: 583-594. DOI: 10.1080/02664760600679643 |
0.806 |
|
| 2006 |
Boese DH, Young DM, Stamey JD. Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification Computational Statistics and Data Analysis. 50: 3369-3385. DOI: 10.1016/J.Csda.2005.08.007 |
0.813 |
|
| 2005 |
Stamey JD, Seaman JW, Young DM. Bayesian sample-size determination for inference on two binomial populations with no gold standard classifier. Statistics in Medicine. 24: 2963-76. PMID 16007574 DOI: 10.1002/Sim.2167 |
0.665 |
|
| 2005 |
Stamey JD, Young DM. Maximum likelihood estimation for a Poisson rate parameter with misclassified counts Australian and New Zealand Journal of Statistics. 47: 163-172. DOI: 10.1111/J.1467-842X.2005.00381.X |
0.39 |
|
| 2005 |
Stamey JD, Young DM, Stephens D. Maximum likelihood estimation of two inversely related Poisson rate parameters with misclassified data American Journal of Mathematical and Management Sciences. 25: 65-81. DOI: 10.1080/01966324.2005.10737643 |
0.515 |
|
| 2005 |
Stamey JD, Seaman JW, Young DM. Bayesian analysis of complementary Poisson rate parameters with data subject to misclassification Journal of Statistical Planning and Inference. 134: 36-48. DOI: 10.1016/J.Jspi.2004.04.004 |
0.731 |
|
| 2004 |
Stamey JD, Seaman JW, Young DM. Bayesian sample size determination for estimating a Poisson rate with underreported data Communications in Statistics Part B: Simulation and Computation. 33: 341-354. DOI: 10.1081/Sac-120037239 |
0.712 |
|
| 2004 |
Holt MA, Stamey JD, Seaman JW, Young DM. A note on tests for interaction in quantal response data Journal of Statistical Computation and Simulation. 74: 683-690. DOI: 10.1080/00949650310001638582 |
0.66 |
|
| 2004 |
Stamey JD, Bratcher TL, Young DM. Parameter subset selection and multiple comparisons of Poisson rate parameters with misclassification Computational Statistics and Data Analysis. 45: 467-479. DOI: 10.1016/S0167-9473(03)00068-9 |
0.819 |
|
| 2004 |
Stamey JD, Young DM, Bratcher TL. Bayesian predictive probability functions for count data that are subject to misclassification Biometrical Journal. 46: 572-578. DOI: 10.1002/Bimj.200410059 |
0.785 |
|
| 2004 |
Manner D, Seaman JW, Young DM. Bayesian methods for regression using surrogate variables Biometrical Journal. 46: 750-759. DOI: 10.1002/Bimj.200210073 |
0.627 |
|
| 2002 |
Meaux LM, Seaman JW, Young DM. Statistical inference with partial prior information based on a Gauss-type inequality Mathematical and Computer Modelling. 35: 1483-1488. DOI: 10.1016/S0895-7177(02)00099-7 |
0.667 |
|
| 2001 |
Meaux LM, Young DM, Seaman JW. A comparison of parametric conditional error-rate estimators for the two-group linear discriminant function Journal of Statistical Computation and Simulation. 69: 277-291. DOI: 10.1080/00949650108812095 |
0.686 |
|
| 2001 |
Navarra A, Odell PL, Young DM. Representation of the general common solution to the matrix equations A1XB1 = C1 and A2XB2 = C2 with applications Computers and Mathematics With Applications. 41: 929-935. DOI: 10.1016/S0898-1221(00)00330-8 |
0.654 |
|
| 2000 |
Young DM, Odell PL, Hahn W. Nonnegative-definite covariance structures for which the blu, wls, and ls estimators are equal Statistics & Probability Letters. 49: 271-276. DOI: 10.1016/S0167-7152(00)00057-2 |
0.707 |
|
| 1999 |
Young DM, Seaman JW, Meaux LM. Independence Distribution Preserving Covariance Structures for the Multivariate Linear Model Journal of Multivariate Analysis. 68: 165-175. DOI: 10.1006/Jmva.1998.1787 |
0.658 |
|
| 1996 |
Young DM, Lehman LM, Meaux LM. Independence distribution-preserving nonnegative-definite covariance structures for the sample variance Australian Journal of Statistics. 38: 193-200. DOI: 10.1111/J.1467-842X.1996.Tb00675.X |
0.398 |
|
| 1996 |
Meaux LM, Young DM, Seaman JW. A characterization of nonnegative-definite independence distribution-preserving covariance structures for the maximum squared-radii statistic Statistical Papers. 37: 375-382. DOI: 10.1007/BF02926115 |
0.637 |
|
| 1995 |
Turner DW, Young DM, Seaman JW. A Kolmogorov inequality for the sum of independent Bernoulli random variables with unequal means Statistics and Probability Letters. 23: 243-245. DOI: 10.1016/0167-7152(94)00120-W |
0.634 |
|
| 1994 |
Meaux LM, Young DM, Seaman JW. Multivariate regression analysis with dependent observations: conditions for the invariance of the distribution of the Lawley-Hotelling test for the model utility Statistica. 54: 139-150. DOI: 10.6092/Issn.1973-2201/675 |
0.666 |
|
| 1994 |
Young DM, Odell PL, Seaman JW. On The Independence Of The Sample Mean And Translation‐Invariant Statistics For Matrix Normal Distributions Australian & New Zealand Journal of Statistics. 36: 95-100. DOI: 10.1111/J.1467-842X.1994.Tb00641.X |
0.712 |
|
| 1994 |
Young DM, Seaman JW, Meaux LM. Independence-distribution-preserving dependency structures for the modified likelihood ratio test for detecting unequal covariance matrices Statistics and Probability Letters. 21: 395-403. DOI: 10.1016/0167-7152(94)00037-9 |
0.687 |
|
| 1993 |
Navard SE, Seaman JW, Young DM. A characterization of discrete unimodality with applications to variance upper bounds Annals of the Institute of Statistical Mathematics. 45: 603-614. DOI: 10.1007/Bf00774775 |
0.652 |
|
| 1992 |
Young DM, Seaman JW, Meaux LM. A characterization of the independence-distribution-preserving covariance structure for the multivariate maximum squared-radii statistic Communications in Statistics - Theory and Methods. 21: 1605-1613. DOI: 10.1080/03610929208830867 |
0.666 |
|
| 1992 |
Seaman JW, Young DM, Turner DW. On the maximum variance of a bounded random variable International Journal of Mathematical Education in Science and Technology. 23: 130-131. DOI: 10.1080/0020739920230113 |
0.608 |
|
| 1992 |
Boullion TL, Seaman JW, Young DM. Moments of discrete probability distributions derived using a differential operator American Statistician. 46: 22-24. DOI: 10.1080/00031305.1992.10475840 |
0.611 |
|
| 1992 |
Turner DW, Young DM, Seaman JW. Improved Kolmogorov inequalities for the binomial distribution Statistics and Probability Letters. 13: 223-227. DOI: 10.1016/0167-7152(92)90051-6 |
0.616 |
|
| 1990 |
Young DM, Turner DW, Seaman JW. A ratio-of-uniforms method for generating exponential power variates Journal of Statistical Computation and Simulation. 35: 13-18. DOI: 10.1080/00949659008811231 |
0.611 |
|
| 1990 |
Wyman FJ, Young DM, Turner DW. A comparison of asymptotic error rate expansions for the sample linear discriminant function Pattern Recognition. 23: 775-783. DOI: 10.1016/0031-3203(90)90100-Y |
0.432 |
|
| 1989 |
Odell PL, Dorsett D, Young D, Igwe J. Estimator models for combining vector estimators Mathematical and Computer Modelling. 12: 1627-1642. DOI: 10.1016/0895-7177(89)90338-5 |
0.696 |
|
| 1989 |
Turner DW, Marco VR, Young DM. Estimation and prediction in a semi-markov model for evasive vehicle movement along a fixed path Naval Research Logistics. 36: 559-575. DOI: 10.1002/1520-6750(198910)36:5<559::Aid-Nav3220360503>3.0.Co;2-N |
0.373 |
|
| 1988 |
Jennings LW, Young DM. Extended critical values of the multivariate extreme deviate test for detecting a single spurious observation Communications in Statistics - Simulation and Computation. 17: 1359-1373. DOI: 10.1080/03610918808812729 |
0.353 |
|
| 1988 |
Peck R, Jennings LW, Young DM. A Comparison of Several Biased Estimators for Improving the Expected Error Rate of the Sample Quadratic Discriminant Function Journal of Statistical Computation and Simulation. 29: 143-156. DOI: 10.1080/00949658808811057 |
0.323 |
|
| 1988 |
Young DM, Turner DW, Marco VR. On the robustness of the equal-mean discrimination rule with uniform covariance structure against serially correlated training data Pattern Recognition. 21: 189-194. DOI: 10.1016/0031-3203(88)90027-1 |
0.368 |
|
| 1987 |
Marco VR, Young DM, Turner DW. A note on the effect of simple equicorrelation in detecting a spurious multivariate observation Communications in Statistics-Theory and Methods. 16: 1027-1036. DOI: 10.1080/03610928708829420 |
0.396 |
|
| 1987 |
Marco VR, Young DM, Turner DW. The euclidean distance classifier: An alternative to the linear discriminant function Communications in Statistics - Simulation and Computation. 16: 485-505. DOI: 10.1080/03610918708812601 |
0.359 |
|
| 1987 |
Seaman JW, Turner DW, Young DM. Polyhedron graphs for displaying multivariate data Computers and Mathematics With Applications. 14: 269-277. DOI: 10.1016/0898-1221(87)90135-0 |
0.603 |
|
| 1987 |
Hamner CG, Turner DW, Young DM. Comparisons of several graphical methods for representing multivariate data Computers and Mathematics With Applications. 13: 647-655. DOI: 10.1016/0898-1221(87)90127-1 |
0.328 |
|
| 1987 |
Young DM, Marco VR, Odell PL. Quadratic discrimination: Some results on optimal low-dimensional representation Journal of Statistical Planning and Inference. 17: 307-319. DOI: 10.1016/0378-3758(87)90122-4 |
0.701 |
|
| 1987 |
Young DM, Seaman JW, Marco VR. A note on a Kolmogorov inequality Statistics and Probability Letters. 5: 217-218. DOI: 10.1016/0167-7152(87)90043-5 |
0.587 |
|
| 1987 |
Young DM, Turner DW, Marco VR. Some Results on Error Rates for Quadratic Discrimination with Known Population Parameters Biometrical Journal. 29: 721-730. DOI: 10.1002/Bimj.4710290610 |
0.363 |
|
| 1987 |
Marco VR, Young DM, Turner DW. Asymptotic Expansions and Estimation of the Expected Error Rate for Equal‐Mean Discrimination with Uniform Covariance Structure Biometrical Journal. 29: 103-113. DOI: 10.1002/Bimj.4710290118 |
0.422 |
|
| 1986 |
Young DM, Odell PL. Feature-subset selection for statistical classification problems involving unequal covariance matrices Communications in Statistics - Theory and Methods. 15: 137-157. DOI: 10.1080/03610928608829112 |
0.671 |
|
| 1986 |
Young DM, Marco VR, Odell PL. Dimension reduction for predictive discrimination Computational Statistics and Data Analysis. 4: 243-255. DOI: 10.1016/0167-9473(86)90005-8 |
0.73 |
|
| 1986 |
Seaman JW, Young DM, Marco VR. A note on improved variance bounds for certain bounded unimodal distributions Statistics and Probability Letters. 4: 273-274. DOI: 10.1016/0167-7152(86)90042-8 |
0.597 |
|
| 1985 |
Young DM, Odell PL, Marco VR. Optimal linear feature selection for a general class of statistical pattern recognition models Pattern Recognition Letters. 3: 161-165. DOI: 10.1016/0167-8655(85)90048-0 |
0.68 |
|
| 1985 |
Seaman JW, Odell PS, Young DM. Maximum variance unimodal distributions Statistics and Probability Letters. 3: 255-260. DOI: 10.1016/0167-7152(85)90041-0 |
0.627 |
|
| 1984 |
Young DM, Odell PL. A formulation and comparison of two linear feature selection techniques applicable to statistical classification Pattern Recognition. 17: 331-337. DOI: 10.1016/0031-3203(84)90083-9 |
0.681 |
|
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