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Practical Multivariate Statistics
Practical Multivariate Statistics
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Author : K.S.Kushwaha & Rajesh Kumar
Pages : 392
Year of Publication : 2019
Language : English
Binding : Hardback
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's PSC's, 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."
Pages : 392
Year of Publication : 2019
Language : English
Binding : Hardback
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's PSC's, 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."
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