Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Nonparametric prediction intervals for the future rainfall records
10.1002/env.781.abs
Prediction of records plays an important role in the environmental applications, especially, prediction of rainfall extremes, highest water levels, sea surface, and air record temperatures. In this paper, based on the observed records drawn from a sequence sample of independent and identically random variables, we develop prediction intervals as well as prediction upper and lower bounds for records from another independent sequence. We extend the prediction problem to include prediction regions for joint upper records from a future sequence sample. The Bonferouni's inequality is used to choose appropriate prediction coefficients for the joint prediction. A real data set representing the records of the annual (January 1–December 31) rainfall at Los Angeles Civic Center is addressed to illustrate the proposed prediction procedures in the environmental applications. Copyright © 2005 John Wiley & Sons, Ltd.
Nonparametric prediction intervals for the future rainfall records
10.1002/env.781.abs
Prediction of records plays an important role in the environmental applications, especially, prediction of rainfall extremes, highest water levels, sea surface, and air record temperatures. In this paper, based on the observed records drawn from a sequence sample of independent and identically random variables, we develop prediction intervals as well as prediction upper and lower bounds for records from another independent sequence. We extend the prediction problem to include prediction regions for joint upper records from a future sequence sample. The Bonferouni's inequality is used to choose appropriate prediction coefficients for the joint prediction. A real data set representing the records of the annual (January 1–December 31) rainfall at Los Angeles Civic Center is addressed to illustrate the proposed prediction procedures in the environmental applications. Copyright © 2005 John Wiley & Sons, Ltd.
Nonparametric prediction intervals for the future rainfall records
Raqab, Mohammad Z. (Autor:in)
Environmetrics ; 17 ; 457-464
01.08.2006
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| Engineering Index Backfile | 1941
Bayesian prediction of rainfall records using the generalized exponential distribution
| Online Contents | 2007
Small Sampie Properties of Nonparametric Bootstrap t Confidence intervals
| Taylor & Francis Verlag | 1997