加州大學(xué)戴維斯分校統(tǒng)計學(xué)

Statistics is a dynamic discipline that aims at the development and application of methodologies for inference and data analysis for science, medicine, business and society. A current challenge facing the field is Big Data and the exponential growth of data being generated worldwide that await analysis. A consequence is that the demand for skilled statisticians has been steadily rising. Statistics uses tools from mathematics, probability and computing to develop specific statistical approaches for prediction, classification, learning, estimation and hypothesis testing. UC Davis Statistics faculty pursue vigorous research programs at the forefront of current developments and engage in a large array of interdisciplinary collaborations. Department faculty are committed to provide students with excellent training and a broad education in Statistics.

1、Introduction to Probability Theory

2、 Introduction to Mathematical Statistics

3、Multivariate Data Analysis

4、Statistical Methods and Research

5、Introduction to Statistical Programming

6、Computational Statistics

7、 Time Series Analysis

8、Analysing Categorical Data

9、Reliability

10、Sampling Theory of Surveys

11、Bayesian statistical Inference

12、Statistical Practice and Data Analysis

1、概率論簡介

2、數(shù)理統(tǒng)計簡介

3、多元數(shù)據(jù)分析

4、統(tǒng)計方法和研究

5、統(tǒng)計編程簡介

6、統(tǒng)計計算

7、時間序列分析

8、分類數(shù)據(jù)分析

9、可靠性

10、調(diào)查的抽樣理論

11、貝葉斯統(tǒng)計推理

12、統(tǒng)計實踐和數(shù)據(jù)分析