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Excuse me, what is the 432 statistical bibliography of Nanjing University's applied statistics major? Why didn't you give an outline?
Because 432 statistics is not a national unified examination subject, the reference books stipulated by various institutions are different, and there is no unified teaching material. Colleges and universities will publish the professional catalogue and bibliography of postgraduate enrollment in official website.

The reference books for postgraduate entrance examination of applied statistics in Nanjing University are as follows:

1, Fundamentals of Probability Theory, edited by Li Xianping, Higher Education Press.

2. Applied Mathematical Statistics, edited by Sun Rongheng, Science Press.

3. Applied Multivariate Statistical Analysis, edited by Gao Huixuan, Peking University Publishing House.

4. Probability Theory and Mathematical Statistics, edited by Sheng Sudong, Higher Education Press?

5. Calculus in College Mathematics, edited by Yao Tianxing, Science Press.

432 Statistics learning content:

1, organization and implementation of investigation

2. Probabilistic sampling and non-probabilistic sampling

3. Data preprocessing

4. Display qualitative data with charts.

5. Display quantitative data with graphs.

6. Describe the levels of data by statistics: average, median, quantile and mode.

7. Describe the differences of data by statistics: range, standard deviation and sample variance.

8. Basic principle of parameter estimation

9. Interval estimation of parameters of one population and two populations

10, determination of sample size

1 1, the basic principle of hypothesis testing

12, parameter test of one population and two populations

13, the basic principle of variance analysis

14, the realization of one-factor and two-factor analysis of variance and the interpretation of the results

15, the relationship between variables: the difference between correlation and function.

16, estimation and test of one-dimensional linear regression

17, using residual to test the hypothesis of the model.

18, multiple linear regression model

19, goodness of fit and significance test of multiple linear regression

20, multiple * * * linear phenomenon

2 1, the component of time series

22, time series prediction method