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- W2214095990 abstract "We address estimation of Gini coefficients for a spatial random field y(s) defined on a lattice, which is assumed to be subordinated to a latent Gaussian process Z(s) via a function G. The marginal distributions of y(s) may have arbitrary shapes and they are location dependent. For we nonparametrically estimate the mean surface and the marginal distribution function which are used to estimate the Gini coefficients. Asymptotic results under short-memory and long-memory auto-correlations in Z are derived. An excerpt from a global total column ozone data set is used for illustration." @default.
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- W2214095990 date "2015-11-17" @default.
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- W2214095990 title "Computation of Spatial Gini Coefficients" @default.
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- W2214095990 doi "https://doi.org/10.1080/03610926.2013.823211" @default.
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