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Titlebook: Athens Conference on Applied Probability and Time Series Analysis; Volume II: Time Seri P. M. Robinson,Murray Rosenblatt Conference proceed

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,General Kriging for spatial-temporal processes with random ARX—regression parameters,poral stochastic process .(., .), . ∈ ℤ, x ∈ ℝ.. A particular feature is a large amount of data in the time direction (. very large), but only few locations in the plane where data are available (. small). A more detailed description of the data has been given in Franke and Gründer (1992) and Gründer (1992).
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Conference proceedings 1996 statistics, applied mathematics, engineering, economics and ecology. The papers include many of the topics of current interest in time series analysis and will be of interest to a wide range of researchers.
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An analysis of an ordinal-valued time series,hms employing the complimentary . link function. This approach facilitates the use of standard statistical packages and leads to a convenient technique for handling serial dependence. Model fit is assessed by uniform residuals, amongst other tools. In this article an example of such an analysis is p
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