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Structural equation modeling and natural systems /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2006.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Grace, James B. | |
| 245 | 1 | 0 | |a Structural equation modeling and natural systems / |c James B. Grace. |
| 260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2006. | ||
| 300 | |a 1 online resource (xii, 365 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references (pages 350-360) and 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. | ||
| 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? | |
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Biotic communities |x Mathematical models. | |
| 650 | 0 | |a Multivariate analysis. | |
| 650 | 6 | |a Analyse multivariée. | |
| 650 | 7 | |a SCIENCE |x Environmental Science (see also Chemistry |x Environmental) |2 bisacsh | |
| 650 | 7 | |a NATURE |x Ecosystems & Habitats |x Wilderness. |2 bisacsh | |
| 650 | 7 | |a NATURE |x Ecology. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Ecology. |2 bisacsh | |
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| 650 | 7 | |a Multivariate analysis |2 fast | |
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