Overview
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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Details
- ISBN-13: 9783030641696
- ISBN-10: 3030641694
- Publisher: Springer
- Publish Date: February 2022
- Dimensions: 9.21 x 6.14 x 0.39 inches
- Shipping Weight: 0.59 pounds
- Page Count: 167
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