Ecological statistics : contemporary theory and application / edited by Gordon A. Fox, University of South Florida, Simoneta Negrete-Yankelevich, Instituto de Ecología, A.C., Vinicio J. Sosa, Instituto de Ecología, A.C.
Tipo de material: TextoIdioma: Inglés Fecha de copyright: Oxford : Oxford University Press , 2015Edición: First EditionDescripción: xv, 389 pages : illustrations ; 24 cmISBN:- 9780199672554
- 0199672555
- 577.015195 23
- QH541.15.S72 E258 2015
Tipo de ítem | Biblioteca actual | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
---|---|---|---|---|---|---|---|---|
Colección general | Biblioteca Yachay Tech | 577.015195 E1938 2015 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 005569 | |||
Colección general | Biblioteca Yachay Tech | 577.015195 E1938 2015 (Navegar estantería(Abre debajo)) | Ej. 2 | Disponible | 005570 | |||
Colección general | Biblioteca Jardín Botánico | 577.015195 E1938 2015 (Navegar estantería(Abre debajo)) | Ej. 3 | Disponible | 005571 |
includes index.
Includes bibliographical references (pages 354-378).
Approaches to Statistical Inference -- Having the Right Stuff : the Effects of Data Constraints on Ecological Data Analysis -- Likelihood and Model Selection -- Missing Data : Mechanisms, Methods and Messages -- What You Don't Know Can Hurt You : Censored and Truncated Data in Ecological Research -- Generalized Linear Models -- A Statistical Symphony : Instrumental Variables Reveal Causality and Control Measurement Error -- Structural Equation Modeling: Building and Evaluating Causal Models -- Research Synthesis Methods in Ecology -- Spatial Variation and Linear Modeling of Ecological Data -- Statistical Approaches to the Problem of Phylogenetically Correlated Data -- Mixture Models for Overdispersed Data -- Linear and Generalized Linear Mixed Models.
The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics.
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