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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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