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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/12167

Title: Spatial prediction using bivariate exponential distribution
Authors: HELWADE, DR
SUBRAMANYAM, A
Keywords: gamma-distribution
drought data
multivariate
densities
inference
marginals
events
model
Issue Date: 2010
Publisher: SPRINGER
Citation: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 24(2), 271-281
Abstract: In this paper, a certain bivariate exponential distribution is used for the spatial prediction. The unobserved random variable is predicted by the projection onto the space of all linear combinations of the powers, up to degree m, of the observed random variables plus the constant 1. We obtain a solution by assuming that all the bivariate distributions follow Gumbel's type III or logistic form of bivariate exponential. The method is implemented on two data sets and the results are presented. The predictions are compared with the original values through Mean Structural Similarity (MSSIM) index of Wang et al. (IEEE Trans Image Process 13(4):600-612, 2004). Using the MSSIM index the proposed method is also compared with Ordinary Kriging and with Simple Kriging after normal score transform.
URI: http://dx.doi.org/10.1007/s00477-009-0316-0
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12167
http://hdl.handle.net/10054/12167
ISSN: 1436-3240
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