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  1. This MATLAB function returns the probability density function (pdf) for the one-parameter distribution family specified by name and the distribution parameter A, evaluated at the values in x.

    • Normal Distribution

      The likelihood function is the pdf viewed as a function of...

    • Pdfplot

      PDFPLOT displays a histogram of the empirical probability...

    • Printer

      For example, create a plot and save the contents of the...

  2. 6 paź 2016 · Let’s see how we can generate a simple random variable, estimate and plot the probability density function (PDF) from the generated data and then match it with the intended theoretical PDF. Normal random variable is considered here for illustration.

  3. 22 kwi 2011 · You can generate a discrete probability distribution for your integers using the function hist: data = [1 2 3 3 4]; %# Sample data. xRange = 0:10; %# Range of integers to compute a probability for. N = hist(data,xRange); %# Bin the data.

  4. 29 wrz 2005 · PDFPLOT displays a histogram of the empirical probability density function (PDF) for the data in the input array X using nbins number of bins. If input X is a matrix, then pdfplot(X) parses it to the vector and displays PDF of all values.

  5. For example, create a plot and save the contents of the current figure as a PDF file containing vector graphics. plot([0 3 2 4 1]); exportgraphics(gcf, "myplot.pdf" , "ContentType" , "vector" ) Alternatively, call the print function and specify an .eps , .emf , or .svg file extension.

  6. This MATLAB function returns the probability density function (pdf) of the standard normal distribution, evaluated at the values in x.

  7. 12 lis 2016 · To save several matlab figures on the same pdf, you can use the report generator toolbox.

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