Ecological statistics: contemporary theory and application
by Fox, Gordon A. Negrete-Yankelevich, Simoneta Sosa, Vinicio J.
This title discusses the change in use of statistics in ecology - especially the increased use (over the last two decades) of more sophisticated statistical and computational methods. This change makes it essential for ecological researchers to have a firm grasp of overarching conceptual tools in statistics, rather than memorising methods as in a cookbook.
Read More ↓Title Statements
- Full title :Ecological statistics : contemporary theory and application / edited by Gordon A. Fox, Simoneta Negrete-Yankelevich, Vinicio J. Sosa.
Summary
This title discusses the change in use of statistics in ecology - especially the increased use (over the last two decades) of more sophisticated statistical and computational methods. This change makes it essential for ecological researchers to have a firm grasp of overarching conceptual tools in statistics, rather than memorising methods as in a cookbook.
Read More ↓Edition Statements
- Publication Date:2015
Publication Statements
- Publisher(s):Oxford University Press
- Place of Publication:Oxford
- Language:eng
- Publication Date:2015
The Physical Object
- Description:1 online resource : : illustrations
Edition Identifiers
- ISBN:9780191652875, 0191652873, 9780191796487, 0191796484
- oclc:ocn900633091
- LC Classification:QH541.15.S72
- Dewey Decimal:577/.0727
Table of Contents
Introduction -- 1. Approaches to Statistical Inference -- 2. Having the Right Stuff : the Effects of Data Constraints on Ecological Data Analysis -- 3. Likelihood and Model Selection -- 4. Missing Data : Mechanisms, Methods and Messages -- 5. What You Don't Know Can Hurt You : Censored and Truncated Data in Ecological Research -- 6. Generalized Linear Models -- 7. A Statistical Symphony : Instrumental Variables Reveal Causality and Control Measurement Error -- 8. Structural Equation Modeling: Building and Evaluating Causal Models -- 9. Research Synthesis Methods in Ecology -- 10. Spatial Variation and Linear Modeling of Ecological Data -- 11. Statistical Approaches to the Problem of Phylogenetically Correlated Data -- 12. Mixture Models for Overdispersed Data -- 13. Linear and Generalized Linear Mixed Models -- Appendix.
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