Statistical inference and simulation for spatial point processes ebook download
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Statistical inference and simulation for spatial point processes by Jesper Møller, Rasmus Plenge Waagepetersen
Statistical inference and simulation for spatial point processes Jesper Møller, Rasmus Plenge Waagepetersen ebook
Format: pdf
Page: 295
Publisher: Chapman & Hall/CRC
ISBN: 1584882654, 9781584882657
Apr 12, 2013 - "Technology now makes available huge amounts of spatial point process data, and new applications are continually arising in fields as diverse as astronomy, forestry, image analysis, and epidemiology. (1978) Simulations to determine the variance and edge-effect of total nearest neighbour distance. (1988) Statistical inference for spatial processes. Monographs on Statistics and Applied Probability 100. Jan 21, 2014 - The surveys had been designed to characterize the statistical distribution of radon in each state, not the spatial distribution, so sample sizes were much higher in highly populated counties than in low-population counties. Mar 11, 2013 - Statistical inference and simulation for spatial point processes by Jesper MГёller, Rasmus Plenge Waagepetersen. Boca Raton, Florida, U.S.A.: Chapman & Hall/CRC Press LLC; 2004. Choose a statistical distribution of “true” geometric means and geometric standard deviations, simulate the survey sampling process, and look at the resulting statistical distribution of simulated county geometric means and standard deviations. Aug 5, 2009 - Møller J, Waagepetersen RP: Statistical inference and simulation for spatial point processes. If your point process is inhomogenous the resulting statistic is invalid because the assumed null of CSR (Complete Spatial Randomness) following a Poisson process is incorrect.