Found 137 results
L. Seymour and Yin, X., Estimating the dimensionality of a ridge in quadratic response surface models, Journal of Quality Technology and Quantitative Management, vol. Special issue, 2008.
T. Dasgupta and Mandal, A., Estimation of process parameters to determine the optimum diagnosis interval for control of defective items, TECHNOMETRICS, vol. 50, pp. 167-181, 2008.
G. Kader and Franklin, C., The Evolution of Pearson's Correlation Coefficient, Mathematics Teacher, vol. 102, no. 4, pp. 292-299, 2008.
J. Morse, Excel Manual for Technology Manual for the Second Edition of Statistics: The Art and Science of Learning From Data by Alan Agresti and Christine Franklin. 2008.
J. J. Kaplan, i>clicker Pedagogy Case Study, 2008. [Online]. Available:
C. Shedd, Franklin, C., Schumacher, A., and Green, D., Improving Inpatient Venous Thromboembolism Prophylaxis, Southern Medical Journal, vol. 101, pp. 1209-1215, 2008.
R. Iaci, Yin, X., Sriram, T. N., and Klingenberg, C. P., An Informational Measure of Association and Dimension Reduction for Multiple Sets and Groups With Applications in Morphometric Analysis, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 103, pp. 1166-1176, 2008.
N. M. Belfiore, Liu, L., and Moritz, C., Multilocus phylogenetics of a rapid radiation in the genus Thomomys (Rodentia:Geomyidae), Systematic Biology, vol. 57, pp. 294-310, 2008.
Q. Wang and Yin, X., A nonlinear multi-dimensional variable selection method for high dimensional data: Sparse MAVE, COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol. 52, pp. 4512-4520, 2008.
L. Li and Yin, X., A note on sliced inverse regression with regularizations - Reply, BIOMETRICS, vol. 64, pp. 984-986, 2008.
M. H. Kao, Mandal, A., and Stufken, J., Optimal Design for Event-related Functional Magnetic Resonance Imaging Considering Both Individual Stimulus Effects and Pairwise Contrasts, Special Volume of Statistics and Applications in Honour of Professor Aloke Dey, vol. 6, pp. 225-241, 2008.
L. Li and Yin, X., Sliced inverse regression with regularizations, BIOMETRICS, vol. 64, pp. 124-131, 2008.
K. Johnson, Mandal, A., and Ding, T., Software for Implementing the Sequential Elimination of Level Combinations Algorithm, JOURNAL OF STATISTICAL SOFTWARE, vol. 25, pp. 1-13, 2008.
C. Franklin and Mewborn, D., Statistics in the Elementary Grades: Exploring Distributions of Data, Teaching Children Mathematics, vol. 15, no. 1, pp. 10-16, 2008.
X. Yin, Li, B., and Cook, D. R., Successive direction extraction for estimating the central subspace in a multiple-index regression, JOURNAL OF MULTIVARIATE ANALYSIS, vol. 99, pp. 1733-1757, 2008.
Q. Wang and Yin, X., Sufficient dimension reduction and variable selection for regression mean function with two types of predictors, STATISTICS & PROBABILITY LETTERS, vol. 78, pp. 2798-2803, 2008.
P. Barbe, McCormick, W. P., and Zhang, C., Asymptotic expansions for distributions of compound sums of random variables with rapidly varying subexponential distribution, JOURNAL OF APPLIED PROBABILITY, vol. 44, pp. 670-684, 2007.
J. S. Marron, Todd, M. J., and Ahn, J., Distance-weighted discrimination, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 102, pp. 1267-1271, 2007.
X. Yin and Zhu, L., Estimating directions in extending generalized partially linear single-index models, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, vol. 16, pp. 330-349, 2007.
I. Pardoe, Yin, X., and Cook, D. R., Graphical tools for quadratic discriminant analysis, TECHNOMETRICS, vol. 49, pp. 172-183, 2007.
C. Franklin, Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., and Scheaffer, R., Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K-12 Curriculum Framework. Alexandra, VA: American Statistical Association, 2007.
S. V. Edwards and Liu., L., High resolution species trees without concatenation, Proceedings of the National Academy of Sciences (USA), vol. 104, pp. 5936-5941, 2007.
J. Ahn, Marron, J. S., Muller, K. M., and Chi, Y. - Y., The high-dimension, low-sample-size geometric representation holds under mild conditions, BIOMETRIKA, vol. 94, pp. 760-766, 2007.
A. Mandal, Johnson, K., Wu, J. C. F., and Bornemeier, D., Identifying promising compounds in drug discovery: Genetic algorithms and some new statistical techniques, JOURNAL OF CHEMICAL INFORMATION AND MODELING, vol. 47, pp. 981-988, 2007.
Y. Liu, Zhang, H. H., Park, C., and Ahn, J., The Lq Support Vector Machines, Proceedings of Joint Summer Research Conference on Machine and Statistical Learning: Prediction and Discovery, Contemporary Mathematics, vol. 443, pp. 35-48, 2007.