Closed mkao006 closed 11 years ago
Quantile has the advantage of capturing the skewness, we can use 25% and 75% plus minus the distance from the 50%.
Also test what the 3 standard deviation bound as well.
The modified quantile range (first quantile - median - (first quantile) and 3rd quantile + (3rd quantile - median)) seems to work better than the Cauchy and the 3 standard deviation bound.
Lets have a look at country specific changes to see if there is a major change in the distribution, and whether there is sufficient data to support country specific validation.
Investigate why some plots can not be generated, is there in sufficient data or estimation?
Issue continued in #21
Should we use quantile bounds or 95% confidence interval of the Cauchy distribution to validate our growth rate?
The quantile appears to be better at capturing the skewness, but the Cauchy is better at capturing the tail. Otherwise, we can just use the range to validate the growth.