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Matrix Tricks for Linear Statistical Models
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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Vanya
A Classic That's Inspired Millions Out of the dark shadows of Soviet atheism rose a fearless young man whose boldness for Christ would make him a testimony to millions of believers around the world. This is the true story of Ivan (Vanya) Moiseyev, a soldier in the Soviet Red Army who was ruthlessly persecuted and incarcerated for his faith. Through two years of trial and torture, he never denied his Savior, and he never hesitated to share the gospel with anyone who would listen. You'll be inspired to live for Christ in your own world as never before after you experience the gripping story of a believer named "Vanya." ""
Library of Congress Catalog
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Linear Statistical Models
Praise for the First Edition "This impressive and eminently readable text . . . [is] a welcome addition to the statistical literature." —The Indian Journal of Statistics Revised to reflect the current developments on the topic, Linear Statistical Models, Second Edition provides an up-to-date approach to various statistical model concepts. The book includes clear discussions that illustrate key concepts in an accessible and interesting format while incorporating the most modern software applications. This Second Edition follows an introduction-theorem-proof-examples format that allows for easier comprehension of how to use the methods and recognize the associated assumptions and limits. In ...
