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Visualizing Linear Models / by W. D. Brinda
版 | 1st ed. 2021. |
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出版者 | Cham : Springer International Publishing : Imprint: Springer |
出版年 | 2021 |
本文言語 | 英語 |
大きさ | XVI, 167 p. 43 illus., 23 illus. in color : online resource |
著者標目 | *Brinda, W. D author SpringerLink (Online service) |
件 名 | LCSH:Regression analysis LCSH:Algebras, Linear LCSH:Statistics FREE:Linear Models and Regression FREE:Linear Algebra FREE:Statistical Theory and Methods |
一般注記 | 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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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783030641672 |
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EB00239132 |