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Computer Networking: A Top-Down Approach (7th Edition)
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ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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![Estimate the PDF of X = U₁U₂ where U₁ and U₂ are uniform random variables. (Assume U, and U₂ are uniform random variables on the interval
[0,1].)
Refer to Example 2.1 and the code in Figure 2.7.
• Use rng (0) at the start of the script to ensure the same random numbers are generated each time. (Not rand('state',0) as described in
the textbook, which is from a previous version of MATLAB.)
▪ Use 1000 realizations.
• Use bins centered at 0, 0.1, 0.2, ..., 1.
• Save the random variable X in the variable named x (lowercase).
• Save the histogram in the variable named h.
• Save the PDF in the variable named pxest. Recall that the PDF is the histogram values divided by the total number of realizations, then
divided by the bin width.
Script>
C Reset E MATLAB Documentation](https://content.bartleby.com/qna-images/question/5a4f20c6-c343-47aa-b426-986ae8a21e64/e7afa269-8b3f-437c-9537-50bb3ad11c35/vyf70sm_thumbnail.png)
Transcribed Image Text:Estimate the PDF of X = U₁U₂ where U₁ and U₂ are uniform random variables. (Assume U, and U₂ are uniform random variables on the interval
[0,1].)
Refer to Example 2.1 and the code in Figure 2.7.
• Use rng (0) at the start of the script to ensure the same random numbers are generated each time. (Not rand('state',0) as described in
the textbook, which is from a previous version of MATLAB.)
▪ Use 1000 realizations.
• Use bins centered at 0, 0.1, 0.2, ..., 1.
• Save the random variable X in the variable named x (lowercase).
• Save the histogram in the variable named h.
• Save the PDF in the variable named pxest. Recall that the PDF is the histogram values divided by the total number of realizations, then
divided by the bin width.
Script>
C Reset E MATLAB Documentation
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