東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Visualizing linear models

Brinda, W. D.

FindBook

Google Book

Amazon

博客來

Visualizing linear models

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Visualizing linear models/ by W. D. Brinda.
作者:	Brinda, W. D.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xvi, 167 p. :ill., digital ;24 cm.
內容註:	Preface -- Review: Linear Algebra -- Least-Squares Regression -- Review: Random Vectors -- The Linear Model -- Review: Normality -- Normal Errors.
Contained By:	Springer Nature eBook
標題:	Linear models (Statistics) -
電子資源:	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
LDR:01911nmm a2200325 a 4500 001 2238448
003 DE-He213
005 20210616134327.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030641672 $q (electronic bk.)
020 $a 9783030641665 $q (paper)
024 7 $a 10.1007/978-3-030-64167-2 $2 doi
035 $a 978-3-030-64167-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA279 $b .B75 2021
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
090 $a QA279 $b .B858 2021
100 1 $a Brinda, W. D. $3 3491622
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
950 $a Mathematics and Statistics (SpringerNature-11649)