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

  • Jin-Song von Storch
Conference paper

Abstract

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 (1999).

Keywords

Covariance Propa Coherence Lution 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Jin-Song von Storch

There are no affiliations available

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