| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1151878 | Statistical Methodology | 2010 | 5 Pages |
Abstract
The maximum likelihood estimation (MLE) of the probability density function (pdf) and cumulative distribution function (CDF) are derived for the Pareto distribution. It has been shown that MLEs are more efficient than uniform minimum variance unbiased estimators of pdf and CDF.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
