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Visualizing Linear Models / by W. D. Brinda.
Springer Nature - Springer Mathematics and Statistics eBooks 2021 English International Available online
View online- Format:
- Book
- Author/Creator:
- Brinda, W. D., author.
- Language:
- English
- Subjects (All):
- Regression analysis.
- Algebras, Linear.
- Statistics.
- Linear Models and Regression.
- Linear Algebra.
- Statistical Theory and Methods.
- Local Subjects:
- Linear Models and Regression.
- Linear Algebra.
- Statistical Theory and Methods.
- Physical Description:
- 1 online resource (175 pages) : illustrations
- Edition:
- 1st ed. 2021.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- Summary:
- 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.
- Contents:
- Preface
- Review: Linear Algebra
- Least-Squares Regression
- Review: Random Vectors
- The Linear Model
- Review: Normality
- Normal Errors.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 9783030641672
- 3030641678
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