Takashi Seo

Orcid: 0000-0002-4766-8011

Affiliations:
  • Tokyo University of Science, Shinjuku, Japan


According to our database1, Takashi Seo authored at least 13 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Testing equality of two mean vectors with monotone incomplete data.
Commun. Stat. Simul. Comput., February, 2023

2022
Multivariate normality test based on kurtosis with two-step monotone missing data.
J. Multivar. Anal., 2022

2020
Multivariate normality test using normalizing transformation for Mardia's multivariate kurtosis.
Commun. Stat. Simul. Comput., 2020

2019
Improved simplified T2 test statistics for a mean vector with monotone missing data.
Commun. Stat. Simul. Comput., 2019

2018
On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings.
J. Multivar. Anal., 2018

A Monte Carlo comparison of Jarque-Bera type tests and Henze-Zirkler test of multivariate normality.
Commun. Stat. Simul. Comput., 2018

2016
On Test Statistics in Profile Analysis with High-dimensional Data.
Commun. Stat. Simul. Comput., 2016

2015
Asymptotic properties of the misclassification rates for Euclidean Distance Discriminant rule in high-dimensional data.
J. Multivar. Anal., 2015

A Two Sample Test for Mean Vectors with Unequal Covariance Matrices.
Commun. Stat. Simul. Comput., 2015

2012
Simultaneous Tests for Independence Among Components of Random Vector by Step-Down Multiple Comparison Procedure.
Commun. Stat. Simul. Comput., 2012

2011
An asymptotic approximation for EPMC in linear discriminant analysis based on two-step monotone missing samples.
J. Multivar. Anal., 2011

2010
Asymptotic Expansion of the Distribution of the Studentized Linear Discriminant Function Based on Two-Step Monotone Missing Samples.
Commun. Stat. Simul. Comput., 2010

Testing Equality of Mean Vectors in Two Sample Problem with Missing Data.
Commun. Stat. Simul. Comput., 2010


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