Abstract
Data of process type are now routinely collected and analyzed in the environmental sciences. This is a consequence, in part, of today' s general availabilty of sophisticated computing, storage, display and analysis equipment. At the same time stochastic models have been developed that take detailed note of the special characteristics of such data and hence allow more appropriate and efficient analyses to be carried through. The problems can be difficult, but often an aproach is suggested by basic scientific background and the parameters have physical interpretations. Recognizing a process type is an important step along the way to its analysis. The goal of this work is to bring out some basic ideas by presenting a number of elementary examples of random process data analysis.
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Brillinger, D.R. (2012). Some Examples of Random Process Environmental Data Analysis. In: Guttorp, P., Brillinger, D. (eds) Selected Works of David Brillinger. Selected Works in Probability and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1344-8_17
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