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NIPA GENX ELECTRONIC RESOURCES & SOLUTIONS PRIVATE LIMITED

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Practical Multivariate Statistics (Hardback, K.S.Kushwaha & Rajesh Kumar)

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Country Of Origin : India

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., State PSC, 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:

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    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:


    Contents of the book Practical Multivariate Statistics


    1. Multivariate Normal Distribution 2. Hotelling 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_x000D_

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