| source Northwestern (X) |
level |
department STAT Statistics (X) |
Statistics is the science of data. This includes collecting, organizing, summarizing, analyzing, and interpreting data. Statistics also involves making numerical conjectures about puzzling questions. This course will serve as an introduction to the useful field of statistics and does not require calculus. Topics to be discussed include experimentation, sampling, descriptive statistics, correlation, regression, estimation, and testing.
Score: 13.936002 Details | Listing | Web page
We will use the probability theory covered in 320-1 to discuss statistical theory and applications. Topics include survey sampling, parameter estimation, and hypothesis testing.
Score: 13.936002 Details | Listing | Web page
We will develop fundamental concepts of probability and statistical theory, with applications. Topics include sample spaces, probability measures, conditional probability, independence, random variables, distributions, expected values, variance, and limit theory. The sequence (320-2) emphasizes statistical inference.
Score: 13.936002 Details | Listing | Web page
The objective of this course is to provide a solid introduction to the methods and underlying theory of modern time series analysis. The main focus will be on modeling and forecasting second-order stationary processes in the framework of the classical linear ARMA model. We will also discuss nonlinear GARCH models which are popular for financial time series.
Score: 13.936002 Details | Listing | Web page