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Download the fantastic book titled The Geometry of Multivariate Statistics written by Thomas D. Wickens, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "The Geometry of Multivariate Statistics", which was released on 25 February 2014. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Psychology genre.

Summary of The Geometry of Multivariate Statistics by Thomas D. Wickens PDF

A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done by a package of computer programs that somebody else has written. An approach from this perspective emphasizes how the computer packages are used, and is usually coupled with rules that allow one to extract the most important numbers from the output and interpret them. Useful as both approaches are--particularly when combined--they can overlook an important aspect of multivariate analysis. To apply it correctly, one needs a way to conceptualize the multivariate relationships that exist among variables. This book is designed to help the reader develop a way of thinking about multivariate statistics, as well as to understand in a broader and more intuitive sense what the procedures do and how their results are interpreted. Presenting important procedures of multivariate statistical theory geometrically, the author hopes that this emphasis on the geometry will give the reader a coherent picture into which all the multivariate techniques fit.


Detail About The Geometry of Multivariate Statistics PDF

  • Author : Thomas D. Wickens
  • Publisher : Psychology Press
  • Genre : Psychology
  • Total Pages : 216 pages
  • ISBN : 1317780221
  • PDF File Size : 15,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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The Geometry of Multivariate Statistics

The Geometry of Multivariate Statistics
  • Publisher : Psychology Press
  • File Size : 30,7 Mb
  • Release Date : 25 February 2014
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A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices,

Applied Multivariate Statistical Analysis (Classic Version)

Applied Multivariate Statistical Analysis (Classic Version)
  • Publisher : Pearson
  • File Size : 46,7 Mb
  • Release Date : 18 March 2018
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This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list

Multivariate Statistical Analysis

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  • Publisher : World Scientific Publishing Company
  • File Size : 32,6 Mb
  • Release Date : 25 November 2008
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This textbook presents a classical approach to some techniques of multivariate analysis in a simple and transparent manner. It offers clear and concise development of the concepts; interpretation of the

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Modern Multivariate Statistical Techniques
  • Publisher : Springer Science & Business Media
  • File Size : 38,9 Mb
  • Release Date : 02 March 2009
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This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management

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  • Publisher : Springer Nature
  • File Size : 45,8 Mb
  • Release Date : 20 January 2023
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Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr.

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  • Publisher : Springer Science & Business Media
  • File Size : 31,5 Mb
  • Release Date : 01 December 2013
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With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics

A Primer of Multivariate Statistics

A Primer of Multivariate Statistics
  • Publisher : Psychology Press
  • File Size : 43,6 Mb
  • Release Date : 01 May 2001
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Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to

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Multivariate Statistics:
  • Publisher : Springer Science & Business Media
  • File Size : 35,6 Mb
  • Release Date : 27 July 2007
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The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three sections, this book has been structured to allow students

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Methods of Multivariate Statistics
  • Publisher : John Wiley & Sons
  • File Size : 29,5 Mb
  • Release Date : 08 July 2002
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Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the

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Theory of Multivariate Statistics
  • Publisher : Springer Science & Business Media
  • File Size : 24,5 Mb
  • Release Date : 05 August 1999
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Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this text discusses, in a