A general class of stochastic models for hydrologic sequences

Ledolter, J. (1978). A general class of stochastic models for hydrologic sequences. Journal of Hydrology 36 (3-4) 309-325. 10.1016/0022-1694(78)90151-8.

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Abstract

The paper discusses stochastic models for hydrologic sequences. The class of autoregressive integrated moving average (ARIMA) models and the family of power transformations are introduced and illustrated on a set of streamflow data.
ARIMA models and their seasonal extensions are a generalization of the Markovian models which are frequently used to describe the correlation structure of hydrologic sequences. The family of power transformations is a parametric class of transformations which includes the logarithmic transformation as a special case.

Item Type:	Article
Research Programs:	System and Decision Sciences - Core (SDS)
Depositing User:	Romeo Molina
Date Deposited:	05 Apr 2016 08:42
Last Modified:	27 Aug 2021 17:40
URI:	https://pure.iiasa.ac.at/12398

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