A JAVA program for the multivariate and tests and its application
✍ Scribed by Güvenç Arslan; İlknur Özmen
- Book ID
- 104007211
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 440 KB
- Volume
- 235
- Category
- Article
- ISSN
- 0377-0427
No coin nor oath required. For personal study only.
✦ Synopsis
program a b s t r a c t
The multivariate normality assumption is used in many multivariate statistical analyses. It is, therefore, important to assess the validity of this assumption. The main aim of this study is to develop a JAVA program for applying the recently developed Z p and C p test statistics. The application and results of the program are illustrated on two real data sets.
📜 SIMILAR VOLUMES
An exact asymptotic formula for the tail probability of a multivariate normal distribution is derived. This formula is applied to establish two asymptotic results for the maximum deviation from the mean: the weak convergence to the Gumbel distribution of a normalized maximum deviation and the precis