Outline

Theory

	Statistics Review
	Binomial and Multinomial Coefficients
	Random Samples
	Expected Value of an Estimator
	Binomial Sampling and Binomial Distribution
	Binomial Likelihood Function
	Maximum Likelihood Estimation
	AIC Lecture Notes
	AIC Handout
	Likelihood Ratio Tests
	Multinomial Distribution
	Confidence Intervals
	MLE's not in Closed Form
	Identifiability
	Quasi-likelihood, c-hat, extra-binomial variation
	Model Selection
	Closed Capture Likelihoods
	Variance Components
	Delta Method
	Bootstrap
	Model Averaging
	Goodness-of-fit
	Data Dredging
	Set of Candidate Models
	Models Versus Full Reality

Models

	Band Recovery Models
	Cormack-Jolly-Seber Models
	Joint Live and Dead Encounters
	Known Fates
	Closed Captures with individual heterogeneity
	Robust Design
	Multi-strata Design
	Pradel Models
	Occupancy Models

Program MARK Methods

	Parameter Index Matrix (PIM)
	PIMs to Design Matrix
	Design Matrix
	Design Matrix II
	PIMs to Design Matrix
	Overview of Bayesian Estimation

The following papers are to be published from a Program MARK workshop in Hungary, June, 1999:

	First Steps with Program MARK: Linear Models -- Evan Cooch
	Exploring Ecological Relationships in Survival and Estimating Rates of Population Change Using Program MARK -- Alan B. Franklin
	The Robust Design for Capture-Recapture Studies: Analysis using Program MARK -- William L. Kendall
	Jointly Analyzing Live and Dead Encounters using MARK -- Richard J. Barker and Gary C. White
	Advanced Features of Program MARK -- Gary C. White, Kenneth P. Burnham, and David R. Anderson

Miscellaneous