- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
The book Practical Multivariate Statistics has been designed for P.G. and Ph.D. students studying Pure Statistics, Agricultural Statistics, Biological & Social Sciences, as well as individuals preparing for competitive examinations, such as ISS, IES, SSS, A.S.R.B., States PSCs, NET, and IAS. Additionally, this book is beneficial for faculty members in the Department of Statistics at Indian universities. The book is the result of 33 years of teaching experience in U.G., P.G., and Ph.D. programs across various disciplines of Agriculture, Agril. Engg., and Agril Statistics.
The book is composed of 12 chapters, the first five of which focus on Multivariate Analysis, while chapters six through nine cover Multivariate Regression Analysis. Chapters ten and eleven address Multicollinearity and Sampling Distributions of Partial & Multiple Correlation, respectively, and chapter twelve discusses Elements of Stochastic Processes. Each chapter features three types of questions: True/False, Fill in the Blanks, and Multiple Choice Questions along with their corresponding Key Answers.
Contents
1. Multivariate Normal Distribution
2. Hotellings T2 and D2 Statistics
3. Wishart Distribution
4. Discriminant Function
5. Principal Component Analysis, Factor Analysis and Canonical Analysis
6. Model Adequancy in Multivariate Regression Analysis
7. Multivariate Regression in Matrix Approach
8. Selecting Best Regression Equation
9. Examination of Residuals in Regression Analysis
10. Multicollinearity and Reasons for its Existence
11. Sampling Distribution of Partial and Multiple Correlation
12. Elements of Stochastic Processess
