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

Structural Equation Modeling and Nat...

Grace, James B.

FindBook

Google Book

Amazon

博客來

Structural Equation Modeling and Natural Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Structural Equation Modeling and Natural Systems./
作者:	Grace, James B.
出版者:	Leiden :Cambridge University Press, : 2006.,
面頁冊數:	379 p.
內容註:	Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Acknowledgments; 1 Introduction; 2 An example model with observed variables; 3 The anatomy of models I: observed variable models; 4 The anatomy of models II: latent variables; 5 Principles of estimation and model assessment; 6 Composite variables and their uses; 7 Additional techniques for complex situations; 8 Model evaluation in practice; 9 Multivariate experiments; 10 The systematic use of SEM: an example; 11 Cautions and recommendations; 12 How can SEM contribute to scientific advancement?
內容註:	13 Frontiers in the application of SEMAppendix I; Purpose; About SEM software; Example applications; Conclusions; References; Index
標題:	Biotic communities. -
電子資源:	http://dx.doi.org/10.1017/CBO9780511617799Click here to view book
ISBN:	9780511617799 (electronic bk.)

Structural Equation Modeling and Natural Systems.
Grace, James B.

Structural Equation Modeling and Natural Systems.[electronic resource]. - Leiden :Cambridge University Press,2006. - 379 p.

Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Acknowledgments; 1 Introduction; 2 An example model with observed variables; 3 The anatomy of models I: observed variable models; 4 The anatomy of models II: latent variables; 5 Principles of estimation and model assessment; 6 Composite variables and their uses; 7 Additional techniques for complex situations; 8 Model evaluation in practice; 9 Multivariate experiments; 10 The systematic use of SEM: an example; 11 Cautions and recommendations; 12 How can SEM contribute to scientific advancement?

There is growing recognition that ecological systems are so complex that major advances will only come as techniques are developed for analysing networks of variables. This new textbook critically examines research methods used by ecologists, whilst posing questions about the future of multivariate methodology and how developments will advance understanding.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511617799 (electronic bk.)Subjects--Topical Terms:

541696
Biotic communities.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QH541.15.M3 G73 2006eb

Dewey Class. No.: 577.01519535

Structural Equation Modeling and Natural Systems.
LDR:01965nmm a22003013u 4500 001 1809201
003 AU-PeEL
005 20090601202837.0
006 m d
007 cr mn---------
008 231221t2006 ||| s |||||||eng|d
020 $a 9780511617799 (electronic bk.)
020 $a 9780521837422 (print)
035 $a EBL273580
035 $a EBL273580
035 $a 1809201
040 $a AU-PeEL $c AU-PeEL $d AU-PeEL
050 0 0 $a QH541.15.M3 G73 2006eb
082 0 0 $a 577.01519535
100 1 $a Grace, James B. $3 1898637
245 1 0 $a Structural Equation Modeling and Natural Systems. $h [electronic resource].
260 $a Leiden : $b Cambridge University Press, $c 2006.
300 $a 379 p.
505 0 $a Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Acknowledgments; 1 Introduction; 2 An example model with observed variables; 3 The anatomy of models I: observed variable models; 4 The anatomy of models II: latent variables; 5 Principles of estimation and model assessment; 6 Composite variables and their uses; 7 Additional techniques for complex situations; 8 Model evaluation in practice; 9 Multivariate experiments; 10 The systematic use of SEM: an example; 11 Cautions and recommendations; 12 How can SEM contribute to scientific advancement?
505 8 $a 13 Frontiers in the application of SEMAppendix I; Purpose; About SEM software; Example applications; Conclusions; References; Index
520 $a There is growing recognition that ecological systems are so complex that major advances will only come as techniques are developed for analysing networks of variables. This new textbook critically examines research methods used by ecologists, whilst posing questions about the future of multivariate methodology and how developments will advance understanding.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
650 4 $a Biotic communities. $3 541696
655 7 $a Electronic books. $2 lcsh $3 542853
710 2 $a Ebooks Corporation. $3 1314793
776 1 $z 9780521837422
856 4 0 $z Click here to view book $u http://dx.doi.org/10.1017/CBO9780511617799