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＜E-Book＞
Visualizing Linear Models / by W. D. Brinda

Edition	1st ed. 2021.
Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2021
Language	English
Size	XVI, 167 p. 43 illus., 23 illus. in color : online resource
Authors	*Brinda, W. D author SpringerLink (Online service)
Subjects	LCSH:Regression analysis LCSH:Algebras, Linear LCSH:Statistics  FREE:Linear Models and Regression FREE:Linear Algebra FREE:Statistical Theory and Methods
Notes	Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors 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 HTTP:URL=https://doi.org/10.1007/978-3-030-64167-2

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