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This page compiles graduate level Statistics courses offered by different universities. My aim is to reach to the graduate students who like to get information on the courses in a same place. Hope that it will help. Harvard graduate level Statistics course tree is below to get the idea of the course sequences.
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Regression Analysis
Regression analysis allows us to model, examine, and explore relationships, and can help explain the factors behind observed patterns. It's is also used for prediction.
- Stanford Uni. ♦ J. Taylor ♦ Book: Introduction to Linear Regression Analysis; D. Montgomery
- Penn State Uni. ♦ F. Chiaromonte ♦ Book: Applied Linear Regression Models; Netter, Kutner
- Purdue Uni. ♦ F. Chiaromonte ♦ Book: Applied Linear Regression Models; Netter, Kutner
- Purdue University ♦ K. Jennings
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Design of Experiment
Design of experiments (DOE) is a systematic method to determine the relationship between factors affecting a process and the output of that process. In other words, it is used to find cause-and-effect relationships.
- Purdue University ♦ K. Jennings
- Penn State Uni. ♦ F. Chiaromonte ♦ Book: Applied Linear Regression Models; Netter, Kutner
- Purdue Uni. ♦ F. Chiaromonte ♦ Book: Applied Linear Regression Models; Netter, Kutner
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Linear Models
Classical linear models are the most commonly used set of statistical techniques in practice. The classes are (1) linear regression models, and (2) analysis of variance (ANOVA) models, and (3) analysis of covariance models (ANCOVA) models.
- Texas Tech University ♦ A. Trindade ♦ Book: Linear Models in Statistics; Rencher
- Purdue University ♦ K. Jennings ♦ Book: Linear Regression Analysis; Seber and Lee
- University of California, Berkeley ♦ A. Guntuboyina ♦ Book: Linear Regression Analysis; Seber and Lee
- University of Washington
- Boston University
- Uni. of Nebraska Lincoln
- Uni. of Georgia
- Ohio State Uni.
- Montana State Uni.
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Probability and Statistics MIT
- MIT ♦ Jeremy Orloff and Jonathan Bloom
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Different Courses
- Mixed-Effect Models and Longitudinal Data Analysis ♦ Uni. of Georgia
- Categorical Data Analysis and Generalized Linear Models ♦ Uni. of Georgia
- Categorical Data Analysis ♦ Uni. of Nebraska Lincoln
- Applied Multivariate Analysis ♦ Uni. of Georgia
- Design of Experiments ♦ Uni. of Georgia
- Mixed-Effect Models and Longitudinal Data Analysis ♦ Uni. of Georgia
- Sampling and Survey Techniques ♦ Uni. of Washington
- Statistical Consulting and Collaboration ♦ Uni. of Washington
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Courses by Dr. Joshua M. Tebbs
Professor in the Department of Statistics in University of South Carolina.
- Statistics for Engineers: ♦ Course Notes ♦ R Codes
- Introduction to Descriptive Statistics: ♦ Course Notes
- Probability: ♦ Course Notes
- Introduction to Descriptive Statistics: ♦ Course Notes ♦ R Codes
- Mathematical Statistics: ♦ Course Notes
- Statistical Inference: ♦ Course Notes
- Time Series: ♦ Course Notes ♦ R Codes
- Applied Statistics: ♦ Course Notes
- Linear Models: ♦ Course Notes
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Courses by Dr. Matt Golder
Asso. Professor in the Department of Political Science, Pennsylvania State University.
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Courses by Dr. Matt Golder
Asso. Professor in the Department of Political Science, Pennsylvania State University.
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Notes by B. Winter
Graduate student in the cognitive science dept. at the University of California, Merced.
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PhD Qualifying Exams
Collection of questions for PhD qualifying exams and solutions. A stack exchange list is also ood to look at.
- University of S Carolina ♦ Exam Questions and Solutions
- University of Florida ♦ Exam Questions
- University of Maryland ♦ Exam 2001 Exam 2003 Exam 2011Jan Exam 2011Aug
- University of Texas, Dallas ♦ Exam 2012 Exam 2013 Exam 2014
- University of North Carolina ♦ Exam Questions
- Purdue University ♦ Exam Solutions Applied Theory
- Penn-State ♦ Exam Questions
- Boston University ♦ Exam Questions
- Carnegie Mellon University ♦ Exam Questions
- University of Wisconsin, Madison ♦ Exam Questions
- University of California, Irvine ♦ Exam Questions
- University of Washington (BioStat) ♦ Exam Questions
- University of Utah ♦ Exam Questions
- Syracuse University ♦ Exam Questions
- University of New Mexico ♦ Exam Questions
- University of Massachu ♦ Exam Questions
- Villanova Uni ♦ Exam Questions
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