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 inthe 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, thendivided by the bin width.Script>C Reset E MATLAB Documentation

MatLab Code: rng(0)N = 1000;U1 = rand(1,N); %Random variable 1U2 = rand(1,N); %Random variable…

Answered: Estimate the PDF of X = U₁U₂ where U₁…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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1.Load the data into a python program and center it. 2.Compute the covariance matrix of the data Σ in three different ways. de. Measure the time that each function takes to compute Σ for the dataset and report it in your Solution.pdf document. Discuss the differences in terms of algorithm complexity and explain the difference in measured times. 3.Compute the eigenvectors and eigenvalues of Σ. The numpy linear algebra module referenced above has a function that can help. 4. Determine the number of principal components (PCs) r that will ensure 90% retained variance? How did you compute this? Provide a function in your code that determines r based on an arbitrary percentage α of retained variance. 5. Plot the first two components in a figure with horizontal axis (x) corresponding to the dimensions and vertical axis (y) corresponding to the magnitude of the component in this dimension. There will be 2 traces with d pointsin this figure. Include the figure in your pdf solution. Also save…
USĘ MATLAB 2. Plot the below functions on the same figure, make sure to provide different legend, colors, and marker for both functions. Set the x limit to end at 315" Don't use screenshots. Instead, save your graph as bitmap file (*.bmp) and insert it below f(x)=sin(x),x € [0,2m] g(x) = cos(x),x € [0,2m]

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