1. bookVolume 9 (2013): Issue 3 (September 2013)
Journal Details
License
Format
Journal
eISSN
2784-1391
ISSN
2066-6934
First Published
12 Apr 2013
Publication timeframe
4 times per year
Languages
English
access type Open Access

Estimation of the Statistical Distribution Used in Hydrology Using Kernel Functions

Published Online: 12 Oct 2013
Volume & Issue: Volume 9 (2013) - Issue 3 (September 2013)
Page range: 1 - 7
Journal Details
License
Format
Journal
eISSN
2784-1391
ISSN
2066-6934
First Published
12 Apr 2013
Publication timeframe
4 times per year
Languages
English
Abstract

In this paper we will study the statistical distributions for the extreme discharges of the Danube River using kernel functions. We will also compare the results with those obtained using classical cumulative distribution functions (Pareto, Weibull, etc).

Keywords

[1] Bâ, K., Diaz-Delgado, C., Cârsteanu, A. (2001), Confidence Intervals of Quantiles in Hidrology Computed by an Analytical Method, Natural Hazards, 24, 1-12.Search in Google Scholar

[2] Ciuiu, D. (2009), Numerical and Monte Carlo Methods to Make Normal Residues in Regression, RomanianJournal for Economic Forecasting, 12(4), 119-131.Search in Google Scholar

[3] Nash, J.E., Sutcliffe, J.V. (1970), River flow forecasting through conceptual models part I - A discussion of principles, Journal of Hydrology, 10(3), 282-290.10.1016/0022-1694(70)90255-6Search in Google Scholar

[4] Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., Veith, T.L. (2007), Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations, Transactions of theASABE, 50(3), 885-900.10.13031/2013.23153Search in Google Scholar

[5] Saporta, G. (1990), Probabilités, Analyse des Donées et Statistique, Editions Technip, Paris.Search in Google Scholar

[6] Singh, V. P., Guo, H. (1995), Parameter estimationn for 3-parameter generalized Pareto distribution by the principle of maximum entropy, Hydrological Sciences, Journal des Sciences Hydrologiques, 40(2), 165-181.10.1080/02626669509491402Search in Google Scholar

[7] Trandafir, R., Ciuiu, D., Drobot, R. (2011), The Utilization of Copula in Hydrology, Scientific JournalMathematical Modeling in Civil Engineering, 7(2 BIS), 12-19.Search in Google Scholar

[8] Văduva, I., Pascu, M. (2003), Nonparametric Estimate of the Hazard Rate: A Survey, Revue Roumaine Math. Pures Appl., 58(2), 173-191.Search in Google Scholar

[9] Văduva, I. (2004), Modele de simulare, Ed. Universităţii Bucureşti.Search in Google Scholar

[10]Văduva, I. (1968), Contribuţii la teoria estimaţiilor statistice ale densităţilor de repartiţie şi aplicaţii, Studii şiCercetări Matematice, 8, 1027-1076.Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo