Abstract
This chapter concerns types of linear models that are used to represent stochastic processes. The purpose is to generate likely future sequences of data for design and planning. In general, the models are formulated so that the current value of a variable is the weighted sum of past values and random numbers which represent unknown effects.
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© 1980 N. T. Kottegoda
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Kottegoda, N.T. (1980). Linear stochastic models. In: Stochastic Water Resources Technology. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-03467-3_4
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