By Ashis Sengupta
This quantity incorporates a number of learn articles on multivariate statistical equipment, encompassing either theoretical advances and rising functions in a number of medical disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the realm of multivariate statistical equipment, on his delivery centenary. within the zone of rising functions, the themes comprise bioinformatics, specific facts and medical trials, econometrics, longitudinal info research, microarray facts research, pattern surveys, statistical strategy keep watch over, and so forth. Researchers, execs and complicated graduates will locate the publication a vital source for contemporary advancements in concept in addition to for cutting edge and rising vital functions within the quarter of multivariate statistical tools.
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Additional info for Advances in Multivariate Statistical Methods (Statistical Science and Interdisciplinary Research) (Statistical Science and Interdisciplinary Research: Platinum Juliee Series)
M. D. (1972). Statistical Inference under Order Restrictions, John Wiley, New York. 2. Benjamini, Y. and Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Jour. Roy. Statist. Soc. B57,, 289-300. 3. Cox, D. R. (1972). Regression models and life tables (with discussion). Jour. Roy. Statist. B 34, 187-220. 4. L. G. (1983). Biometrika 70, 659-663. 5. Dardanoni, V. and Forcena, A, (1998). A unified approach to likelihood inference on stochastic ordering in a nonparametric context.
Plan. Infer. 130, 325-339. 14. T. and Dykstra, R. (1988). Order Restricted Statistical Inference, John Wiley, New York. 15. Roy, J. (1958). Step-down procedures in multivariate analysis. Ann. Math. Statist. 29, 1177 - 1188. 16. Roy, S. N. (1953). On a heuristic method of test construction and its use in multivariate analysis. Ann. Math. 24, 220-238. 17. N. (1957). Some Aspects of Multivariate Analysis, John Wiley, New York, and Asia Publ. House, Bombay. 18. , Gnanadesikan, R. N. (1971). Analysis and Design of Certain Quantitative Multiresponse Experiments, Pergamon Press, New York.
68, 264-282. 35. Sen, P. -T. -S. (2007). High dimension low sample size perspectives in constrained statistical inference: The SARSCoV genome in illustration. Jour. American Statist. , 102, in press. 36. Shapiro. A. (2000). On the asymptotics of constrained local M-estimators. Ann. Statist. 28, 685-694. 37. J. (1995). A Hotelling T 2 -type statistic for testing against one-sided hypotheses. Jour. Multivar. Anal. 55, 312-319. 38. J. and Sen, P. K. (2004). Constrained Statistical Inference: Inequality, Order and Shape Restrictions, John Wiley, New York.