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Visualizing linear models
~
Brinda, W. D.
Visualizing linear models
Record Type:
Electronic resources : Monograph/item
Title/Author:
Visualizing linear modelsby W. D. Brinda.
Author:
Brinda, W. D.
Published:
Cham :Springer International Publishing :2021.
Description:
xvi, 167 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Linear models (Statistics)
Online resource:
https://doi.org/10.1007/978-3-030-64167-2
ISBN:
9783030641672$q(electronic bk.)
Visualizing linear models
Brinda, W. D.
Visualizing linear models
[electronic resource] /by W. D. Brinda. - Cham :Springer International Publishing :2021. - xvi, 167 p. :ill., digital ;24 cm.
Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors.
This book provides a visual and intuitive coverage of the core theory of linear models. Designed to develop fluency with the underlying mathematics and to build a deep understanding of the principles, it's an excellent basis for a one-semester course on statistical theory and linear modeling for intermediate undergraduates or graduate students. Three chapters gradually develop the essentials of linear model theory. They are each preceded by a review chapter that covers a foundational prerequisite topic. This classroom-tested work explores two distinct and complementary types of visualization: the "observations picture" and the "variables picture." To improve retention of material, this book is supplemented by a bank of ready-made practice exercises for students. These are available for digital or print use.
ISBN: 9783030641672$q(electronic bk.)
Standard No.: 10.1007/978-3-030-64167-2doiSubjects--Topical Terms:
181866
Linear models (Statistics)
LC Class. No.: QA279 / .B75 2021
Dewey Class. No.: 519.5
Visualizing linear models
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by W. D. Brinda.
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2021.
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xvi, 167 p. :
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ill., digital ;
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24 cm.
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Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors.
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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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Linear models (Statistics)
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based on 0 review(s)
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EB QA279 .B858 2021 2021
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https://doi.org/10.1007/978-3-030-64167-2
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