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Otis et al. (1978)

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  • 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
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    • Statistical Help
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