Classical Inference III 
Classical Inference III
by MIT / John Tsitsiklis
Video Lecture 25 of 25
Copyright Information: John Tsitsiklis. 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed 31 Jan, 2015). License: Creative Commons BY-NC-SA
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Date Added: April 8, 2013

Lecture Description

In this lecture, the professor discussed classical inference, simple binary hypothesis testing, and composite hypotheses testing.

Course Index

Course Description

An subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy.

The aim of this class is to introduce the relevant models, skills, and tools, by combining mathematics with conceptual understanding and intuition.

This course is suitable to both undergraduate and graduate students.

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