Program MARK

Advances since 1985

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Encounter Techniques
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Types of Encounter History Data
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Estimable Parameters
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Models in MARK
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Additional Features
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Knowledge Required of the User
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Data are Required to Gain Reliable Knowledge
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Computer Requirements
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Program Architecture
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Vocabulary of MARK
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Basic Data
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Likelihood Function
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Pr(Enc. History)
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Dead Encounters
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Seber 1970
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Brownie et al. 1985 Model
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Dead Encounters
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Live Encounters (CJS)
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Extensions to CJS
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Multi-Strata Model
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Jolly-Seber Model
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Robust Design
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Robust-design Multi-strata Models
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Joint Encounters
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Joint Encounters
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Joint Encounters
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Joint Encounters
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Joint Encounters
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Barker Live-Dead Model
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Robust Design Barker Model
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Robust Design Barker Model
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Multi-strata with Live and Dead Encounters
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Joint Encounters: Estimation of Radio Effects
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Closed Captures
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Closed Captures
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Closed Captures
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Closed Captures
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Closed Captures
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Closed Captures
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Closed Captures
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Closed Captures
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Closed Captures
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Closed Captures with Heterogeneity
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Closed Captures with Heterogeneity
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Closed Captures
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Closed Captures
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Known Fate
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Known Fate
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Known Fate
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Known Fate
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Known Fate
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Known Fate
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Known Fate Equivalent to Kaplan Meier
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Advantages of Using MARK Known Fate over Kaplan-Meier
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Model Building
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Parameter Index Matrix � PIM
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Parameter Index Matrix � PIM
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Parameter Index Matrix � PIM
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Parameter Index Matrix � PIM
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Parameter Index Matrix � PIM
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Parameter Index Matrix � PIM
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Parameter Index Matrix � PIM
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Parameter Index Matrix � PIM
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PIM Manipulation
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PIM Chart
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Design Matrix
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Individual Covariates
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PIMs for Design Matrix Examples
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Model {theta(g*t)}
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Link Functions
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Design Matrix
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Design Matrix
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Design Matrix
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Logit vs. Real Parameters
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Model {theta(.)}
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Model {theta(g)}
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Model {theta(t)}
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Model {theta(g + t)}
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Model {theta(g*t)}
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Model {theta(T)}
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Model {theta(g + T)}
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Model {theta(g*T)}
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Design Matrix Manipulation
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Design Matrix Functions
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Numerical Estimation
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Numerical Methods
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Features of Results Browser
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Hypothesis Tests
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Goodness-of-fit Procedures
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Advanced Analyses
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Model Selection
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Model Selection Information-Theoretic Approach
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Model Selection
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Selecting �Best� Model
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Model Averaging
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Model Averaging
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Model Averaging
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Variance Components
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Process Variance �2
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Variance Components
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Variance Components
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Variance Components
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Example
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Example Continued
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Program MARK Assumptions
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Quasi-likelihood Estimation
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Goodness of Fit
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Goodness of Fit � Logistic Regression
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Goodness-of-fit Testing
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Bootstrap Procedure
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Goodness of Fit � Bootstrap Approach
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Logistic Regression Procedure
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Logistic Regression Procedure
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Logistic Regression Procedure
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Program Documentation
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Program Availability
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