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Course outline

EXST7025 Course Outline Spring 2004

I. Simple Linear Regression

1. Review of basics

2. Corrections when assumptions are not met

a) Problem detection with residual plots

b) Non - homogeneous variance

c) Independent variable not measured without error

d) Transformations

3. Regression through the origin

II. Multiple regression

1. Matrix algebra

2. Curvilinear models

3. Analysis of Covariance

a) Matrix algebra

b) General linear hypothesis test

* c) using SAS

III. Biological models

1. Simple biological relationships

a) Length - length relationships

b) Length - weight relationships

c) Catch Depletion models (Leslie and Delury)

2. Population dynamics

a) Schaefer production model (Maximum sustained yield)

b) Recruitment models (Ricker, Beverton-Holt, Cushing)

c) Growth models (vonBertalanffy, Logistic, Gompertz, Richards)

MIDTERM EXAM around here

d) Yield per Recruit Model (Beverton - Holt)

3. Length frequency models

a) Mortality estimates (vanSickle's Model and others)

b)** Cohort Analysis (Jones' model)

c)** ELEFAN (Brey and Pauly's Model)

4. ** SRA (Stock Reduction Analysis Kimura's Model)

5. Predator - Prey models (Lotka Volterra Models)

6. Simulation models General applications

IV. Diversity Indices (time permitting)

FINAL EXAM