Visualizing Linear Models

This book provides a visual and intuitive coverage of the core theory of linear models. Designed to develop fluency with the underlying mathematics and to build a deep understanding of the principles, it's an excellent basis for a one-semester course on statistical theory and linear modeling fo...

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Bibliographic Details
Main Author: Brinda, W. D.
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Visualizing Linear Models  |h Elektronische Ressource  |c by W. D. Brinda 
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260 |a Cham  |b Springer International Publishing  |c 2021, 2021 
300 |a XVI, 167 p. 43 illus., 23 illus. in color  |b online resource 
505 0 |a Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors 
653 |a Statistical Theory and Methods 
653 |a Linear Models and Regression 
653 |a Statistics  
653 |a Regression analysis 
653 |a Linear Algebra 
653 |a Algebras, Linear 
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082 0 |a 519.536 
520 |a This book provides a visual and intuitive coverage of the core theory of linear models. Designed to develop fluency with the underlying mathematics and to build a deep understanding of the principles, it's an excellent basis for a one-semester course on statistical theory and linear modeling for intermediate undergraduates or graduate students. Three chapters gradually develop the essentials of linear model theory. They are each preceded by a review chapter that covers a foundational prerequisite topic. This classroom-tested work explores two distinct and complementary types of visualization: the “observations picture” and the “variables picture.” To improve retention of material, this book is supplemented by a bank of ready-made practice exercises for students. These are available for digital or print use