part 1 PART I: Introduction to Statistical Analysis of Ecological Data -- chapter 1 Introduction -- chapter 2 Data, Models and Likelihoods -- chapter 3 Classical Inference Based on Likelihood -- part 2 PART II: Bayesian Techniques and Tools -- chapter 4 Bayesian Inference -- chapter 5 Markov Chain Monte Carlo -- chapter 6 Model Discrimination -- chapter 7 MCMC and RJMCMC Computer Programs -- part 3 PART III: Ecological Applications -- chapter 8 Covariates, Missing Values and Random Effects -- chapter 9 Multi-State Models -- chapter 10 State-Space Modelling -- chapter 11 Closed Populations -- part Appendices -- chapter A Common Distributions -- chapter B Programming in R.