caa a22 4500 469064366 CHVBK 20180323132903.0 cr unu---uuuuu 170328e19920101xx s 000 0 eng 10.1007/BF00890087 doi (NATIONALLICENCE)springer-10.1007/BF00890087 On the stability of the geostatistical method [Elektronische Daten] [Noel Cressie, Dale Zimmerman] A thorough geostatistical analysis of spatial data, observed at given spatial locations, includes exploratory data analysis, spatial-model building, diagnosing the model fit, and inference on unknown model parameters or unobserved values (at known locations). Using results from mathematical analysis, exact and asymptotic distribution theory, and simulation studies, we argue that, when used sensibly, the geostatistical method is reassuringly stable. International Association for Mathematical Geology, 1992 kriging nationallicence mean squared prediction error nationallicence resistance nationallicence robustness nationallicence spatial dependence nationallicence spatial prediction nationallicence trend nationallicence variogram nationallicence Cressie Noel Department of Statistics, Iowa State University, 50011, Ames, Iowa aut Zimmerman Dale Department of Statistics and Actuarial Science, University of Iowa, 52242, Iowa City, Iowa aut Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/1(1992-01-01), 45-59 0882-8121 24:1<45 1992 24 11004 https://doi.org/10.1007/BF00890087 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00890087 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cressie Noel Department of Statistics, Iowa State University, 50011, Ames, Iowa aut NATIONALLICENCE 700 1- Zimmerman Dale Department of Statistics and Actuarial Science, University of Iowa, 52242, Iowa City, Iowa aut NATIONALLICENCE 773 0- Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/1(1992-01-01), 45-59 0882-8121 24:1<45 1992 24 11004 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer