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Binomial Random Variable Applications
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Lecture Probability Theory - Lecture 4: Binomial Random Variable Applications, Conditional Probability Density Function and Stirling’s Formula includes the following topics: The Normal Approximation, The Poisson Approximation, Conditional Probability Density Function, Stirling’s Formula.
34p
cucngoainhan0
10-05-2022
18
1
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Lecture Probability Theory - Lecture 6: Mean, Variance, Moments and Characteristic Functions. Mean, Variance and Characteristic Functions of various random variables are derived here. Chen's theorem to compute the Poisson moments, and an iterative formula to compute Gaussian moments are also derived here. As an application, the characteristic function is used to show that a Binomial random variable tends to behave like a Gaussian random variable as the number of trials becomes large.
50p
cucngoainhan0
10-05-2022
9
1
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