Schedule Date Topic W, Jan 21 Introduction to R M, Jan 26 Introduction to R, cont. W, Jan 28 Probability, Statistical Independence Joint, M, Feb 2 Marginal, Conditional Probability W, Feb 4 Conditional Probability, Bayes Theorem M, Feb 9 Mean, Median, Mode, Variance, Std Error W, Feb 11 Binomial, Multinomial Distributions M, Feb 16 Poisson Distribution W, Feb 18 Normal Distribution M, Feb 23 Confidence intervals, t-test W, Feb 25 ANOVA M, Mar 2 ANOVA, cont. W, Mar 4 Simple linear regression M, Mar 9 Simple linear regression, cont. W, Mar 12 Multiple linear regression M, Mar 23 Stratified random sampling W, Mar 25 Cluster sampling M, Mar 30 Double sampling W, Apr 1 Capture-recapture models (closed population) M, Apr 6 Capture-recapture models (open population) W, Apr 8 Spatial data, point patterns M, Apr 13 Point patterns W, Apr 15 Interpolation M, Apr 20 Variograms W, Apr 22 Ordinary Kriging M, Apr 27 Variograms, Universal Kriging W, Apr 29 Bayesian methods M, May 4 Bayesian methods, cont.
Schedule Date Topic W, Jan 21 M, Jan 26 W, Jan 28 M, Feb 2 W, Feb 4 M, Feb 9 W, Feb 11 M, Feb 16 W, Feb 18 M, Feb 23 W, Feb 25 M, Mar 2 W, Mar 4 M, Mar 9 W, Mar 12 M, Mar 23 W, Mar 25 M, Mar 30 W, Apr 1 M, Apr 6 W, Apr 8 M, Apr 13 W, Apr 15 M, Apr 20 W, Apr 22 M, Apr 27 W, Apr 29 M, May 4 Introduction to R Introduction to R, cont. Probability, Statistical Independence Joint, Marginal, Conditional Probability Conditional Probability, Bayes Theorem Mean, Median, Mode, Variance, Std Error Binomial, Multinomial Distributions Poisson Distribution Normal Distribution Confidence intervals, t-test ANOVA ANOVA, cont. Simple linear regression Simple linear regression, cont. Multiple linear regression Stratified random sampling Cluster sampling Double sampling Capture-recapture models (closed population) Capture-recapture models (open population) Spatial data, point patterns Point patterns Interpolation Variograms Ordinary Kriging Variograms, Universal Kriging Bayesian methods Bayesian methods, cont.
369AnalMethods.docx