PERBANDINGAN BAGAN KENDALI T 2 HOTELLING KLASIK DENGAN T 2 HOTELLING PENDEKATAN BOOTSTRAP PADA DATA BERDISTRIBUSI NON-NORMAL MULTIVARIAT

Shape Changes via Hotelling ' S T 2 Fields

Large and Moderate Deviations for Hotelling ’ S T 2 - Statistic

AMIR DEMBO 1 Department of Statistics, Stanford University, Stanford, CA 94305-4065, USA email: [email protected] QI-MAN SHAO 2 Department of Mathematics, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China; Department of Mathematics, University of Oregon, Eugene, OR 97403, USA; Department of Mathematics, Zhejiang University, Hangzhou, Zhejiang 310027...

Hotelling ' s T 2 VS . The Rank Transform With Real Likert Data

Limit Theorems for Large Dimensional Sample Means , Sample Covariance Matrices and Hotelling ’ S T 2 Statistics

In this paper, we prove the central limit theorem for Hotelling’s T 2 statistics when the dimension of the random vectors is proportional to the sample size via investigating asymptotic independence and random quadratic forms involving sample means and sample covariance matrices.

Hotelling ’ s T 2 control chart with two adaptive sample sizes

Some quality control schemes have been developed when several related quality characteristics are to be monitored. The familiar multivariate process monitoring and control procedure is the Hotelling’s T 2 control chart for monitoring the mean vector of the process. It is a direct analog of the univariate shewhart x̄ chart. As in the case of univariate, the ARL improvements are very important par...