Multivariate Statistical Modeling: POP-Model as a First Order Approximation



The study of a time series is a standard exercise in statistical analysis. A time series, which is an ordered set of random variables, and its associated probability distribution are called a stochastic process. This mathematical construct can be applied to time series of climate variables. Strictly speaking, a climate variable is generated by deterministic processes. However since a myriad of processes contribute to the behavior of a climate variable, a climate time series behaves like one generated by a stochastic process. More detailed discussion of this problem is given by H. von Storch and Zwiers (1995).


Multivariate Time Series Multivariate Statistical Modeling Univariate Time Series Climate Time Series Filter Time Series 
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© Springer-Verlag Berlin Heidelberg 1995

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