6.041 / 6.431 8. Continuous Random Variables

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Description
This lecture notes describes the following Topics:
• Probability density functions
• Cumulative distribution functions and
• Normal random variables
A continuous random variable is described by a probability density function
f(x).

Instructors: Prof.Dimitri Bertsekas, Prof. John Tsitsiklis, MIT Course Number:6.041 / 6.431, Level: Undergraduate / Graduate , 6.041 / 6.431 8. Continuous random variables ,Probabilistic Systems Analysis and Applied Probability, Electrical Engineering and Computer Science, Engineering, Massachusetts Institute of Technology: MIT Open Course Ware, http://ocw.mit.edu (11-11-2011). License: Creative Commons BY-NC-SA: http://ocw.mit.edu/terms/#cc.


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