ABSTRACT

Novel Statistical Tools for Conserving and Managing PopulationsBy gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to easily incorporate random effects, fit state-space mode

part 1|2 pages

PART I: Introduction to Statistical Analysis of Ecological Data

chapter 1|12 pages

Introduction

chapter 2|34 pages

Data, Models and Likelihoods

chapter 3|18 pages

Classical Inference Based on Likelihood

part 2|2 pages

PART II: Bayesian Techniques and Tools

chapter 4|30 pages

Bayesian Inference

chapter 5|48 pages

Markov Chain Monte Carlo

chapter 6|52 pages

Model Discrimination

chapter 7|40 pages

MCMC and RJMCMC Computer Programs

part 3|2 pages

PART III: Ecological Applications

chapter 9|30 pages

Multi-State Models

chapter 10|38 pages

State-Space Modelling

chapter 11|18 pages

Closed Populations

part |2 pages

Appendices

chapter |10 pages

A Common Distributions

chapter |26 pages

B Programming in R