ViewTube

ViewTube
Sign inSign up
Skip

Recommended videos

MIT OpenCourseWare
3. Parametric Inference
1:22:37
3. Parametric Inference

111,805 views

6 years ago

zedstatistics
Teach me STATISTICS in half an hour! Seriously.
42:09
Teach me STATISTICS in half an hour! Seriously.

2,615,380 views

5 years ago

3Blue1Brown
But what is the Central Limit Theorem?
31:15
But what is the Central Limit Theorem?

3,286,420 views

1 year ago

MIT OpenCourseWare
26. Chernobyl — How It Happened
54:24
26. Chernobyl — How It Happened

2,797,916 views

4 years ago

Show more

2. Introduction to Statistics (cont.)

239,438 views

0

Channel image

MIT OpenCourseWare

5.1M subscribers

Thu, 17 Aug 2017 00:00:00 GMT
Share

Tags

convergence in probability

convergence in distribution

mutual independence

exponential distribution

Delta method

Slutsky’s theorem

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This lecture is the second part of the introduction to the mathematical theory behind statistical methods. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu/

123 Comments