A Kolmogorov-Smirnov type test for independence between marks and points of marked point processes
نویسندگان
چکیده
منابع مشابه
Test for independence between marks and points of marked point processes
Ecological data often involve measurements taken at irregularly spaced locations, e.g., the heights of trees in a forest. A useful approach to model such data is via a marked point process, where the marks (i.e., measurements) and points (i.e., locations) are often assumed to be independent. While a convenient assumption, this may not hold in practice. Schelather et al. (2003) proposed a simula...
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An important problem in statistical methods for marked point processes (MPPs) is to evaluate the relationship between points and marks, which can be developed under either the concept of independence or the concept of separability. Although both have been used, the connection between these two concepts is still unclear in the literature. The present article provides a way to evaluate such a con...
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Marked point processes are widely used stochastic models for representing a finite number of natural hazard events located in space and time and their data often associate event measurements (i.e. marks) with event locations (i.e. points). An interesting statistical problem of marked point processes is to measure and estimate the localized dependence between points and marks. To solve this prob...
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چکیده ندارد.
A Modified Kolmogorov-Smirnov Test for Normality
In this paper we propose an improvement of the Kolmogorov-Smirnov test for normality. In the current implementation of the Kolmogorov-Smirnov test, a sample is compared with a normal distribution where the sample mean and the sample variance are used as parameters of the distribution. We propose to select the mean and variance of the normal distribution that provide the closest fit to the data....
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ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2014
ISSN: 1935-7524
DOI: 10.1214/14-ejs961