|
![]() |
|||
|
||||
OverviewThe book Practical Multivariate Statistics has been specifically designed for P.G. and Ph.D. students majoring in Pure Statistics, Agricultural Statistics, Biological and Social Sciences, as well as individuals preparing for competitive examinations such as ISS, IES, SSS, A.S.R.B., States PSCs, NET, and IAS. This book is also beneficial for faculty members of the Department of Statistics at Indian Universities. With 33 years of teaching experience under his belt, the author has prepared this book to cater to the needs of U.G., P.G., and Ph.D. students from a variety of disciplines in Agriculture, Agril. Engg., and Agril Statistics. The book is composed of 12 chapters, with the first five focusing on Multivariate Analysis, and the subsequent four delving into Multivariate Regression Analysis. The tenth chapter deals with Multicollinearity, while the eleventh chapter covers Sampling Distributions of Partial & Multiple Correlation. Lastly, the twelfth chapter provides an overview of Elements of Stochastic Processes. Each chapter includes three types of questions: True/False, Fill in the Blanks, and Multiple Choice, 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: 9788119254446ISBN 10: 8119254449 Pages: 392 Publication Date: 01 January 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback 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 |