Visualizing Linear Models / W. D. Brinda

By:

Brinda, W. D [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer eBook CollectionPublisher: Cham : Springer, [2021]Copyright date: © 2021Description: 1 Online-Ressource (XVI, 167 Seiten) : Illustrationen, DiagrammeISBN:

9783030641672

Subject(s):

Additional physical formats: 9783030641665 | 9783030641689 | 9783030641696 | Erscheint auch als: 9783030641665 Druck-Ausgabe | Erscheint auch als: 9783030641689 Druck-Ausgabe | Erscheint auch als: 9783030641696 Druck-Ausgabe | Erscheint auch als: Visualizing linear models. Druck-Ausgabe Cham : Springer, 2021. xvi, 167 SeitenRVK: RVK: SK 840DOI: DOI: 10.1007/978-3-030-64167-2Online resources:

Summary: Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors.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.PPN: PPN: 1750011379Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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