|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 113 van 160 gevonden artikelen
| Titel: |
Parametric and Nonparametric Frequency Analysis of Monthly Precipitation in Iran |
| Auteur: |
P. Haghighat Jou A.M. Akhoond-Ali A. Behnia R. Chinipardaz |
| Verschenen in: |
Journal of applied sciences |
| Paginering: | Jaargang 8 (2008) nr. 18 pagina's 3242-3248 |
| Jaar: |
2008 |
| Inhoud: |
This study is devoted to compare the goodness of fitting of the monthly precipitation for five old raingauge stations (Bushehr, Isfahan, Meshed, Tehran and Jask) in Iran using parametric and nonparametric methods. The parametric methods include normal, two and three parameter log-normal, two parameter gamma, Pearson and log-Pearson type III and Gumbel extreme value type I distributions. The nonparametric approach is Gaussian (normal) kernel function. The smoothing parameter were calculated by four methods including rule of thumb, Adamowski criterion, least squares cross-validation and Sheater and Jones plug-in. Results from the least squares cross-validation were better comparing to other methods due to goodness of fit tests applied in this study. The results of this study showed that the monthly precipitation data fitted to the parametric methods much better than nonparametric method. |
| Uitgever: |
Asian Network for Scientific Information, Pakistan (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 113 van 160 gevonden artikelen
| << vorige | volgende >> |