The first chapter of the probability of events
1.1 What is the probability
1.2 classical probability
1.3 computing events,and the independence of conditional probability
Chapter II and the probability distribution of random variable
2.1 One-dimensional random variable
2.2 multi-dimensional random variable (Random Vector)
2.3 conditional probability distribution of random variables and the independence of the
2.4 random variable function of the probability distribution
Chapter III of the random variable number of features
Mathematical expectation of 3.1 (average) and median
3.2 variance with the moment
3.3 covariance and correlation coefficient
3.4 theorem of large numbers and central limit theorem
Chapter IV of the estimated parameters
4.1 Mathematical Statistics of the basic concepts
4.2 moment estimation,maximum likelihood estimation and Bayesian estimation
4.3 points,estimated the fine guidelines
Estimates range 4.4
Exercises
Chapter hypothesis testing
5.1 issues and the formulation of the basic concepts
5.2 key parameters test
5.3-fit test
Chapter VI return,and the related analysis of variance
6.1 the basic concept of regression analysis
6.2 linear regression
The return of more than 6.3 yuan money
6.4 Correlation Analysis
6.5 analysis of variance
