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A first course in linear model theory /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A first course in linear model theory /Nalini Ravishanker, Zhiyi Chi, Dipak K. Dey.
Author:	Ravishanker, Nalini,
other author:	Chi, Zhiyi,
Description:	xvi, 513 pages :illustrations ;27 cm.
Notes:	"A Chapman & Hall book" -- title page.
Subject:	Linear models (Statistics)
ISBN:	9781439858059$q(hardcover)

A first course in linear model theory /
Ravishanker, Nalini,

A first course in linear model theory /Nalini Ravishanker, Zhiyi Chi, Dipak K. Dey. - Second edition. - xvi, 513 pages :illustrations ;27 cm. - Chapman & Hall/CRC texts in statistical science series. - Texts in statistical science..

"A Chapman & Hall book" -- title page.

Includes bibliographical references (pages 493-504) and indexes.

"A First Course in Linear Model Theory systematically presents the basic theory behind linear statistical models with motivation from an algebraic as well as a geometric perspective. Through the concepts and tools of matrix and linear algebra and distribution theory, it provides a framework for understanding classical and contemporary linear model theory. It does not merely introduce formulas, but develops in students the art of statistical thinking and inspires learning at an intuitive level by emphasizing conceptual understanding"--

ISBN: 9781439858059$q(hardcover)

LCCN: 2021019402

Nat. Bib. No.: GBC1D1714bnb

Nat. Bib. Agency Control No.: 020290048UkSubjects--Topical Terms:

181866
Linear models (Statistics)

LC Class. No.: QA276 / .R38 2022

Dewey Class. No.: 519.5/35

A first course in linear model theory /
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245 1 2 $a A first course in linear model theory / $c Nalini Ravishanker, Zhiyi Chi, Dipak K. Dey.
250 $a Second edition.
264 1 $a Boca Raton, FL : $b CRC Press, $c 2022.
264 4 $c ©2022
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500 $a "A Chapman & Hall book" -- title page.
504 $a Includes bibliographical references (pages 493-504) and indexes.
520 $a "A First Course in Linear Model Theory systematically presents the basic theory behind linear statistical models with motivation from an algebraic as well as a geometric perspective. Through the concepts and tools of matrix and linear algebra and distribution theory, it provides a framework for understanding classical and contemporary linear model theory. It does not merely introduce formulas, but develops in students the art of statistical thinking and inspires learning at an intuitive level by emphasizing conceptual understanding"-- $c Provided by publisher.
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650 0 $a Mathematical statistics. $3 181877
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