Practical Multivariate Statistics
Download Practical Multivariate Statistics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Practical Multivariate Statistics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Practical Multivariate Analysis
This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical
Practical Multivariate Statistics
Author: K.S. Kushwaha
language: en
Publisher: New India Publishing Agency
Release Date: 2019
The book entitled “Practical Multivariate Statistics” has been designed for P.G. and Ph.D. students of “Pure Statistics”, “Agricultural Statistics”, “Biological & Social Sciences” and those who have to appear in various competitive examinations like (ISS, IES, SSS, A.S.R.B., State’s PSC’s, NET and IAS.). This book is also useful for faculties of “Department of Statistics” of Indian Universities. The book is the outcome of 33 years of teaching experience of U.G., P.G. and Ph.D. students of different disciplines of Agriculture, Agril. Engg. and Agril Statistics. The book contains 12 chapters, out of which (1-5) deals with the “Multivariate Analysis”, (6-9) Multivariate Regression Analysis, (10) Multicollinearity, (11) Sampling Distributions of Partial & Multiple Correlation and (12) Elements of Stochastic Processes. In each chapter three type of questions. “True/False, Fill in the Blanks and Multiple Choice Questions alongwith their “Key Answers” have been provided.
Practical Multivariate Analysis
This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. Key Features: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computing, and exercises. Updated with a new chapter on data visualization.