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| Content Provider | Springer Nature Link |
|---|---|
| Author | Olmos, Neveka M. Varela, Héctor Gómez, Héctor W. Bolfarine, Hele |
| Copyright Year | 2011 |
| Abstract | In this paper we introduce a new distribution, namely, the slashed half-normal distribution and it can be seen as an extension of the half-normal distribution. It is shown that the resulting distribution has more kurtosis than the ordinary half-normal distribution. Moments and some properties are derived for the new distribution. Moment estimators and maximum likelihood estimators can computed using numerical procedures. Results of two real data application are reported where model fitting is implemented by using maximum likelihood estimation. The applications illustrate the better performance of the new distribution. |
| Starting Page | 875 |
| Ending Page | 886 |
| Page Count | 12 |
| File Format | |
| ISSN | 09325026 |
| Journal | Statistical Papers |
| Volume Number | 53 |
| Issue Number | 4 |
| e-ISSN | 16139798 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2011-07-06 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Half-normal distribution Slash distribution Slashed half-normal distribution Kurtosis Operations Research/Decision Theory Probability Theory and Stochastic Processes Economic Theory Statistics for Business/Economics/Mathematical Finance/Insurance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty |
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