Models for Ecological Data : : An Introduction / / James S. Clark.

The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models...

Full description

Saved in:
Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
VerfasserIn:
Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2020]
©2007
Year of Publication:2020
Language:English
Online Access:
Physical Description:1 online resource (632 p.) :; 163 line illus. 21 tables.
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • Part I Introduction
  • 1. Models in Context
  • 2. Model Elements: Application to Population Growth
  • Part II. Elements of Inference
  • 3. Point Estimation: Maximum Likelihood and the Method of Moments
  • 4. Elements of the Bayesian Approach
  • 5. Confidence Envelopes and Prediction Intervals
  • 6. Model Assessment and Selection
  • Part III. Larger Models
  • 7. Computational Bayes: Introduction to Tools Simulation
  • 8. A Closer Look at Hierarchical Structures
  • Part IV. More Advanced Methods
  • 9. Time
  • 10. Space-Time
  • 11. Some Concluding Perspectives
  • References
  • INDEX