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© LIBERO v6.4.1sp220816
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Visualizing Linear Models
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Catalogue Information
Field name
Details
Dewey Class
519.536
Title
Visualizing Linear Models ([EBook] /) / by W. D. Brinda.
Author
Brinda, W. D.
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2021.
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2021.
Physical Details
XVI, 167 p. 43 illus., 23 illus. in color. : online resource.
ISBN
9783030641672
Summary Note
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 note
Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors.
Mode of acces to digital resource
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-3-030-64167-2
Links to Related Works
Subject References:
Algebras, Linear
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Linear Algebra
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Linear Models and Regression
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Regression analysis
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Statistical Theory and Methods
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Statistics
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Authors:
author
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Brinda, W. D.
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Corporate Authors:
SpringerLink (Online service)
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Classification:
519.536
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