RT Journal Article
T1 Asymptotic expansions for statistics computed from spatial data
A1 García Soidán, Maria Del Pilar Hortensia
K1 1209.13 Técnicas de Inferencia Estadística
AB The Edgeworth expansions for dependent data are generalized to the context of spatial patterns, with the aim of obtaining asymptotic expansions which approximate the distribution of statistics computed from spatial data, generated by a weakly dependent coverage process. In particular, the case of estimating the expected proportion (its porosity) of a region that is not covered by the process is treated in detail and explicit formulae are given in the context of a Boolean model, assuming that the random sets generating the model are essentially bounded and satisfy a version of Cramér’s condition.
PB Test
SN 11330686
YR 1996
FD 1996-06
LK http://hdl.handle.net/11093/6874
UL http://hdl.handle.net/11093/6874
LA eng
NO Test, 5(1): 61-76 (1996)
NO Fundacion Provigo | Ref. 23-5-95
DS Investigo
RD 14-sep-2024