The resource has been added to your collection
There is no test to prove a distribution is non-normal stable. However there are tests that indicate stability. One of these is a test for infinite variance. For the normal (a special case of stable) distribution the variance converges to a finite real number as ... grows without bounds. When tails are heavy (stable ... ) variance does not exist or is infinite. Granger and Orr (1972) devised a running variance test for infinite variance that is displayed here. Note that when ... , the distribution is normal and the plot of the test shows the variance converging. At lower levels of ... the plot remains "wild" indicating infinite or nonexistent variance.
This resource has not yet been reviewed.
Not Rated Yet.