## Abstract Variograms are used to describe the spatial variability of environmental variables. In this study, the parameters that characterize the variogram are obtained from a variogram in a different but comparably polluted area. A procedure is presented for improving the variogram modelling whe
Intrinsic Kriging and prior information
β Scribed by E. Vazquez; E. Walter; G. Fleury
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 340 KB
- Volume
- 21
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.536
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## Abstract Using the method of ARIMA forecasting with benchmarks developed in this paper, it is possible to obtain forecasts which take into account the historical information of a series, captured by an ARIMA model (Box and Jenkins, 1970), as well as partial prior information about the forecasts.
Suppose X1; : : : ; Xn are IID p(β’|Γ; ) where (Γ; ) β R d is distributed according to the prior density w(β’). For estimators Sn =S(X ) and Tn =T (X ) assumed to be consistent for some function of Γ and asymptotically normal, we examine the conditional Shannon mutual information (CSMI) between and Tn