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All readings refer to Amazon logo DeGroot, Morris H., and Mark J. Schervish. Probability and Statistics. 3rd ed. Boston, MA: Addison-Wesley, 2002. ISBN: 0201524880.


SES #TOPICSREADINGS
L1Overview of some Probability Distributions
L2Maximum Likelihood EstimatorsSection 6.5
L3Properties of Maximum Likelihood EstimatorsSections 6.6 and 7.8
L4Multivariate Normal Distribution and CLTSection 5.12 (for the 2-dimensional case)
L5Confidence Intervals for Parameters of Normal DistributionSections 7.3 and 7.5
L6Gamma, Chi-squared, Student T and Fisher F DistributionsSections 5.9, 7.2, 7.4, and 8.7
L7-L8Testing Hypotheses about Parameters of Normal Distribution, t-Tests and F-TestsSections 8.5, 8.6, and 8.7
L9

Testing Simple Hypotheses

Bayes Decision Rules

Sections 8.1-8.2
L10Most Powerful Test for Two Simple HypothesesSection 8.2
L11Chi-squared Goodness-of-fit TestSection 9.1
L12Chi-squared Goodness-of-fit Test for Composite HypothesesSection 9.2
L13Tests of Independence and HomogeneitySections 9.3, 9.4, and 9.5
L14Kolmogorov-Smirnov TestSection 9.6
L15-L16Simple Linear RegressionSections 10.1, 10.2, and 10.3
L17-L18Multiple Linear RegressionSection 10.5
L19-L20

General Linear Constraints in Multiple Linear Regression

Analysis of Variance and Covariance

Sections 10.6, 10.7, and 10.8
L21Classification Problem, AdaBoost Algorithm
L22Review

 








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