random time series and regression models
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Hi. I need to generate 2 time series. the first one with 7000 numbers and the second with 20000. The first one has to be normally distributed and the second log-normally. How do you do that?
After creating that, I have to get a regression model for both time series.
Please help!
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Accepted Answer
Adam Danz
on 10 Mar 2020
Edited: Adam Danz
on 10 Mar 2020
You can use r = normrnd(mu,sigma,1,100) to generate 100 random numbers from a Gaussian distribution with mean mu and standard deviation sigma.
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