对巩固统计知识帮助很大，结合Matlab的coding。MIT公开课整合版，共17章。
Topics
Maximum Likelihood Estimators

• Properties
• Fisher Information
• Asymptotic Variance of MLE
  

Parameters of Normal Distribution

• Chi-squared and t-Distribution
• Distribution of the Estimates of Parameters of Normal Distribution
• Confidence Intervals
  

Testing Hypotheses

• t-Tests and F-Tests
• Bayes Tests
• Most Powerful Tests (Including Randomized)
  

Goodness-of-fit Tests

• Simple Discrete
• Continuous
• Composite Goodness-of-fit Tests
• Independence and Homogeneity Tests
• Kolmogorov-Smirnov Test
  

Linear Regression

• Estimating Parameters
• Joint Distribution of Estimates
• Testing Hypotheses about Parameters
• Confidence and Prediction Intervals
• Joint Confidence Sets
  

Multiple Regression, Analyses of Variance and Covariance

• Distribution of Estimates
• Testing General Linear Hypotheses
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