Journal article
A general class of stochastic models for hydrologic sequences
Journal of hydrology (Amsterdam), Vol.36(3), pp.309-325
01/01/1978
DOI: 10.1016/0022-1694(78)90151-8
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.
Details
- Title: Subtitle
- A general class of stochastic models for hydrologic sequences
- Creators
- Johannes Ledolter - International Institute for Applied Systems Analysis
- Resource Type
- Journal article
- Publication Details
- Journal of hydrology (Amsterdam), Vol.36(3), pp.309-325
- Publisher
- Elsevier B.V
- DOI
- 10.1016/0022-1694(78)90151-8
- ISSN
- 0022-1694
- eISSN
- 1879-2707
- Language
- English
- Date published
- 01/01/1978
- Academic Unit
- Statistics and Actuarial Science; Business Analytics
- Record Identifier
- 9984380501002771
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