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Visualizing linear models

Brinda, W. D.

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Visualizing linear models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Visualizing linear models/ by W. D. Brinda.
Author:	Brinda, W. D.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xvi, 167 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors.
Contained By:	Springer Nature eBook
Subject:	Linear models (Statistics) -
Online resource:	https://doi.org/10.1007/978-3-030-64167-2
ISBN:	9783030641672

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

Standard No.: 10.1007/978-3-030-64167-2doiSubjects--Topical Terms:

533190
Linear models (Statistics)

LC Class. No.: QA279 / .B75 2021

Dewey Class. No.: 519.5

Visualizing linear models
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245 1 0 $a Visualizing linear models $h [electronic resource] / $c by W. D. Brinda.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xvi, 167 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors.
520 $a 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.
650 0 $a Linear models (Statistics) $3 533190
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Linear Algebra. $3 3338825
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-64167-2
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