賓夕法尼亞州立大學(xué)統(tǒng)計(jì)學(xué)

Graduate instruction and research opportunities are available in most areas of statistics and probability, including linear models, nonparametric statistics, robustness, statistical computing, analysis of count data, multivariate analysis, experimental design, reliability, stochastic processes and probability (applied and theoretical), distribution theory, statistical ecology, and biometrics.
Graduate students can gain practical experience in the application of statistical methodology through participation in the department's statistical consulting center and collaborative research activities. In addition, collaborative projects with other departments provide longer term experience and support for selected students. Most students gain valuable teaching experience by assisting in the teaching and grading of courses. In addition, Ph.D. candidates with proper qualifications can receive support for teaching undergraduate courses.

1、Experimental Methods

2、Introduction to Probability Theory

3、Introduction to Mathematical Statistics

4、Stochastic Modeling

5、Computational Statistics

6、Intermediate Applied Statistics

7、Analysis of Variance

8、Applied Regression Analysis

9、Applied Time Series Analysis

10、Applied Nonparametric Statistics

11、Survey Sampling

12、Statistical Analysis System Programming

1、實(shí)驗(yàn)方法

2、概率論簡(jiǎn)介

3、數(shù)理統(tǒng)計(jì)簡(jiǎn)介

4、隨機(jī)建模

5、統(tǒng)計(jì)計(jì)算

6、中級(jí)應(yīng)用統(tǒng)計(jì)

7、方差分析

8、應(yīng)用回歸分析

9、應(yīng)用時(shí)間序列分析

10、應(yīng)用非參數(shù)統(tǒng)計(jì)

11、抽樣調(diào)查

12、統(tǒng)計(jì)分析系統(tǒng)編程