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Structural Equation Modeling and Nat...
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Ebooks Corporation.
Structural Equation Modeling and Natural Systems.
紀錄類型:
書目-電子資源 : 單行本
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.
標題:
Biotic communities. -
電子資源:
Click 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:
129297
Biotic communities.
Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: QH541.15.M3 G73 2006eb
Dewey Class. No.: 577.01519535
Structural Equation Modeling and Natural Systems.
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379 p.
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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?
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13 Frontiers in the application of SEMAppendix I; Purpose; About SEM software; Example applications; Conclusions; References; Index
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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.
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http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511617799
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