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