Multivariable Statistical Analysis (I)
- A Review of Mtrix Ajjebra
- Characterizing and Displaying Multivariate Data
- The Multivariate Normal Distribution
- Estimation in the Multivariate Normal,
- Test on mean vector when Variance - Covarianc matrix is known
- Test on mean vector when Variance- Covariance matrix is unknown
- Comparison of two mean vectors
- Multivariate Two-Sample T^2-Test,
- ^2 Computation of T
- Asymptotic Distributions of Sample Means and Covariance
Matrices,
- The Noncentral x^2 and F Distributions,
- The Wishart Distribution,
- Likelihood Estimation of the Parameters,
- Some Results on Quadratic Forms,
- Multivariate Techniques