A space-time Neyman-Scott rainfall model with defined storm extent
نویسندگان
چکیده
منابع مشابه
A Generalization of the Neyman-Scott Process
In this paper we introduce a generalization of the Neyman-Scott process (Neyman and Scott, 1958) that allows for regularity in the parent process. In particular, we consider the special case where the parent process is a Strauss process with offspring points dispersed about the parent points. Such a generalization allows for point realizations that show a mix of regularity and clustering in the...
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Minimum Message Length (MML) is a popular method for statistical inference, belonging to the Minimum Description Length (MDL) family. It is a general name for any of several computationally-feasible approximations to the generally NP-Hard Strict Minimum Message Length (SMML) estimator. One often-cited showcase for the power of MML is the Neyman-Scott estimation problem, where most popular estim...
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The Neyman-Scott cluster point process, originally developed in 1958 to describe the distribution of galaxies in space [l], has become an important representation for a broad range of phenomena in the physical, biological, and social sciences [2], [3]. Bartlett [4] has shown that the shot-noise driven doubly stochastic Poisson point process (SNDP) is a special but important example of a Neyman-...
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We consider the problem of estimating the parameters of a two-dimensional Ney-man-Scott process, from data collected through a line transect survey. Cowling (1998) suggested an estimation method based on a one-dimensional K-function along the transect line. However, her expression for the theoretical K-function was wrong. We develop the correct K-function. We further carry out a simulation stud...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2008
ISSN: 0043-1397
DOI: 10.1029/2007wr006110