Thanks for your clear response, Ruben.
I'm trying to fit the data of each year in a distribution because my data is
truncated at fixed points to the right and to the left (each year). By
fitting a truncate distribution I think I will be able to get an unbiased
estimate of the yearly mean.
But, a
drbn wrote:
Hello,
I have seen that some papers do this:
1.) Group data by year (e.g. 35 years)
2.) Estimate the mean of the key variable through the distribution that fits
better (some years is a normal distribution , others is a more skewed, gamma
distribution, etc.)
3.) With these estimat
Hello,
I have seen that some papers do this:
1.) Group data by year (e.g. 35 years)
2.) Estimate the mean of the key variable through the distribution that fits
better (some years is a normal distribution , others is a more skewed, gamma
distribution, etc.)
3.) With these estimated means of ea
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