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OverviewThe 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. Full Product DetailsAuthor: K.S.Kushwaha , Rajesh KumarPublisher: New India Publishing Agency Imprint: New India Publishing Agency Dimensions: Width: 2.80cm , Height: 22.90cm , Length: 15.20cm Weight: 0.750kg ISBN: 9789386546432ISBN 10: 9386546434 Pages: 392 Publication Date: 01 January 2019 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. 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 ProcessessReviewsAuthor InformationK.S. Kushwaha, M.Sc., P.S.C.C., Ph.D. (Statistics), Recipient of Dr. Radhakrishanan Award (1992), Associate Professor (Statistics), Department of Mathematics & Statistics, Jawaharlal Nehru Krishi Vishwavidayalaya, Jabalpur, Madhya Pradesh, India. Rajesh Kumar, M.Sc., P.S.C.C., Ph.D., (Statistics), Principal Scientist (Statistics), Indian Institute of Sugarcane Research (ICAR), Lucknow, Uttar Pradesh, India. Tab Content 6Author Website:Countries AvailableAll regions |