Matrix Tricks for Linear Statistical Models : Our Personal Top Twenty
2011 ed.
Book Details
Format
Hardback or Cased Book
ISBN-10
364210472X
ISBN-13
9783642104725
Edition
2011 ed.
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Manufacture
DE
Country of Publication
GB
Publication Date
Aug 24th, 2011
Print length
486 Pages
Weight
918 grams
Dimensions
24.10 x 16.60 x 3.50 cms
Product Classification:
Probability & statisticsProbability and statistics
Ksh 19,800.00
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In teaching linear statistical models to first-year graduate students or to final-year undergraduate students there is no way to proceed smoothly without matrices and related concepts of linear algebra;
In teaching linear statistical models to first-year graduate students or to final-year undergraduate students there is no way to proceed smoothly without matrices and related concepts of linear algebra; their use is really essential. Our experience is that making some particular matrix tricks very familiar to students can substantially increase their insight into linear statistical models (and also multivariate statistical analysis). In matrix algebra, there are handy, sometimes even very simple “tricks” which simplify and clarify the treatment of a problem—both for the student and for the professor. Of course, the concept of a trick is not uniquely defined—by a trick we simply mean here a useful important handy result. In this book we collect together our Top Twenty favourite matrix tricks for linear statistical models.
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