1986 - Fellow of the American Statistical Association (ASA)
Statistics and Applied mathematics are his primary areas of study. His study in the fields of Statistics under the domain of Regression analysis overlaps with other disciplines such as Applied mathematics and Regression.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Regression Analysis: Theory, Methods, and Applications
Ashish K. Sen;M. S. Srivastava.
(1990)
On Tests for Detecting Change in Mean
Ashish Sen;Muni S. Srivastava.
Annals of Statistics (1975)
Methods of Multivariate Statistics
Muni S. Srivastava.
(2002)
Bootstrap Tests and Confidence Regions for Functions of a Covariance Matrix
Rudolf Beran;Muni S. Srivastava.
Annals of Statistics (1985)
Some Tests Concerning the Covariance Matrix in High Dimensional Data
Muni S. Srivastava.
Journal of the Japan Statistical Society. Japanese issue (2005)
A test for the mean vector with fewer observations than the dimension
Muni S. Srivastava;Meng Du.
Journal of Multivariate Analysis (2008)
An introduction to applied multivariate statistics
M. S. Srivastava;E. M. Carter.
(1983)
Comparison of EWMA, CUSUM and Shiryayev-Roberts Procedures for Detecting a Shift in the Mean
M. S. Srivastava;Yanhong Wu.
Annals of Statistics (1993)
Singular Wishart and multivariate beta distributions
M.S. Srivastava.
Annals of Statistics (2003)
Multivariate Theory for Analyzing High Dimensional Data
M. S. Srivastava.
Journal of the Japan Statistical Society. Japanese issue (2007)
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