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Features ready-made exercises using a flash card app, available for print or digital use, to improve retention of material
Offers a targeted review of relevant, key background topics
Presents the fundamentals of visualizing linear models in a compact volume, ideal for a one-semester course
Includes supplementary material: sn.pub/extras
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
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.
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Authors and Affiliations
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Statistics and Data Science, Yale University, New Haven, USA
W. D. Brinda
About the author
Bibliographic Information
Book Title: Visualizing Linear Models
Authors: W. D. Brinda
DOI: https://doi.org/10.1007/978-3-030-64167-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-64166-5Published: 25 February 2021
Softcover ISBN: 978-3-030-64169-6Published: 25 February 2022
eBook ISBN: 978-3-030-64167-2Published: 24 February 2021
Edition Number: 1
Number of Pages: XVI, 167
Number of Illustrations: 20 b/w illustrations, 23 illustrations in colour