7.410 Applied Statistics

Class Info

Provides an introduction to modern applied statistics. Topics include likelihood-based methods for estimation, confidence intervals, and hypothesis-testing; bootstrapping; time series modeling; linear models; nonparametric regression; and model selection. Organized around examples drawn from the recent literature.

This class has no prerequisites.

7.410 will be offered this semester (Spring 2019). It is instructed by A. Solow.

Lecture occurs 2:30 PM to 4:00 PM on Tuesdays and Thursdays in 54-823.

This class counts for a total of 12 credits.

You can find more information at the MIT + 7.410 - Google Search site or on the 7.410 Stellar site.

MIT 7.410 Applied Statistics Related Textbooks
MIT 7.410 Applied Statistics On The Web

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