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    Time Series Analysis and Random Processes

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    Question 1:
    Simulate a completely random process of length 48 with independent, normal values. Plot the time series plot. Does it look "random"? Repeat this exercise several times with a new simulation each time.

    Question 2:
    Simulate a completely random process of length 48 with independent, t-distributed values each with 5 degrees of freedom. Construct the time series plot. Does it look "random" and nonnormal? Repeat this exercise several times with a new simulation each time.

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    https://brainmass.com/statistics/time-series-analysis/time-series-analysis-random-processes-450881

    Solution Preview

    Please see the attachments.

    Solution:
    First we are going to simulate random process of length 48 from normal distribution using statistical package R. The command used for this is
    a = rnorm(48))
    We can plot this time series using the command
    plot (a) # This will give the scatter plot
    plot.ts(a) # This will give the time series plot
    The output ...

    Solution Summary

    This solution answers questions regarding time series analysis. Completely random processes are simulated with independent, normal values and independent, t-distributed values.

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