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Other research product . Other ORP type . 2014

Individual design-based prediction: the assistance from spatial relationships

Cocchi, Daniela;
Open Access
Published: 01 Jan 2014
Publisher: Università degli studi di Bergamo
Country: Italy

Design-based inference; Model-based inference; Spatial prediction; Spatial sampling

18 references, page 1 of 2

[1] Bolfarine, H. and S. Zacks (1992). Prediction Theory for Finite Populations.New York: Springer Verlag

[2] Bruno, F., Cocchi, D., Vagheggini, A. (2013). Finite population properties of individual predictors based on spatial patterns. Environmental and Ecological Statistics 20, 467-494.

[3] Brus, D., de Gruijter, J. (1997). Random sampling or geostatistical modelling? Choosing between designbased and model-based sampling strategies for soil (with discussion). Geoderma 80, 1-44.

[4] Cicchitelli, G., Montanari, G. (2012). Model-assisted estimation of a spatial population mean. International Statistical Review 00, 1-16.

[5] Cox, D., Cox, L., and Ensor, K. (1997). Spatial sampling and the environment: some issues and directions. Environmental and Ecological Statistics 4, 219-233.

Cressie, N. (1993). Statistics for Spatial Data. Wiley. New York. [OpenAIRE]

[6] Diggle, P., Menezes, R., Su, T. (2010). Geostatistical inference under preferential sampling (with discussion). Journal of the Royal Statical Society Series C-Applied Statistics 59, 191-232.

[7] de Gruijter, J., ter Braak, C. (1990). Model-free estimation from spatial samples: a reappraisal of classical sampling theory. Mathematical Geology 22, 407-415. [OpenAIRE]

[8] Gelfand, A., Sahu, S., Holland, D. (2012). On the effect of preferential sampling in spatial prediction. Environmetrics 23, 565-578.

[9] Ghosh, S., Gelfand, A., Mølhave, T. (2012). Attaching uncertainty to deterministic spatial interpolations. Statistical Methodology 9, 251-264.