Muni S. Srivastava

According to our database, Muni S. Srivastava authored at least 15 papers between 2009 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2017

Testing sphericity and intraclass covariance structures under a growth curve model in high dimension.

Muni S. Srivastava, Martin Singull

Commun. Stat. Simul. Comput., 2017

2016

Comparison of linear shrinkage estimators of a large covariance matrix in normal and non-normal distributions.

Yuki Ikeda, Tatsuya Kubokawa, Muni S. Srivastava

Comput. Stat. Data Anal., 2016

2014

Tests for covariance matrices in high dimension with less sample size.

Muni S. Srivastava, Hirokazu Yanagihara, Tatsuya Kubokawa

J. Multivar. Anal., 2014

2013

Corrigendum to "A two sample test in high dimensional data" [J. Multivariate Analysis 114 (2013) 349-358].

Muni S. Srivastava, Shota Katayama, Yutaka Kano

J. Multivar. Anal., 2013

A two sample test in high dimensional data.

Muni S. Srivastava, Shota Katayama, Yutaka Kano

J. Multivar. Anal., 2013

Tests for multivariate analysis of variance in high dimension under non-normality.

Muni S. Srivastava, Tatsuya Kubokawa

J. Multivar. Anal., 2013

Asymptotic expansion and estimation of EPMC for linear classification rules in high dimension.

Tatsuya Kubokawa, Masashi Hyodo, Muni S. Srivastava

J. Multivar. Anal., 2013

Asymptotic distributions of some test criteria for the mean vector with fewer observations than the dimension.

Shota Katayama, Yutaka Kano, Muni S. Srivastava

J. Multivar. Anal., 2013

2012

Testing the structure of the covariance matrix with fewer observations than the dimension.

Muni S. Srivastava, N. Reid

J. Multivar. Anal., 2012

2011

Some tests for the covariance matrix with fewer observations than the dimension under non-normality.

Muni S. Srivastava, Tõnu Kollo, Dietrich von Rosen

J. Multivar. Anal., 2011

2010

Testing the equality of several covariance matrices with fewer observations than the dimension.

Muni S. Srivastava, Hirokazu Yanagihara

J. Multivar. Anal., 2010

Conditional information criteria for selecting variables in linear mixed models.

Muni S. Srivastava, Tatsuya Kubokawa

J. Multivar. Anal., 2010

Variable Selection by <i>C</i>_<i>p</i> Statistic in Multiple Responses Regression with Fewer Sample Size Than the Dimension.

Mariko Yamamura, Hirokazu Yanagihara, Muni S. Srivastava

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

2009

Multiple imputation and other resampling schemes for imputing missing observations.

Muni S. Srivastava, Mohammad Dolatabadi

J. Multivar. Anal., 2009

A test for the mean vector with fewer observations than the dimension under non-normality.

Muni S. Srivastava

J. Multivar. Anal., 2009