Description

Book Synopsis
The 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.

Practical Multivariate Statistics

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    A Paperback / softback by K.S.Kushwaha & Rajesh Kumar

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      Book details

      Publisher New India Publishing Agency
      Published 1 January 2019
      ISBN-13 9788119254446
      978-8119254446
      ISBN-10 8119254449
      Also in:
      Probability and statistics

      Description

      Book Synopsis
      The 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.

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