COMPARISON OF SPLINE WITH KRIGING IN AN EPIDEMIOLOGICAL PROBLEM

Roshanak Alimohammadi (Iran)

Received March 11, 2009

References:

[1] N. Cressie, Statistics for Spatial Data, John Wiley, New York, 1993. [2] P. J. Green and B. W. Silverman, Nonparametric Regression and Generalized Linear Models, Chapman and Hall, London, 1994. [3] Ch. Gu, Smoothing Spline Anova Models, Springer, UK, 2002. [4] W. Hardle, Smoothing Techniques: With Implementation in S, Springer Series in Statistics, Springer, UK, 2006. [5] J. D. Hart, Nonparametric Smoothing and Lack-of-fit Tests, Springer Series in Statistics, Springer, UK, 2005. [6] M. F. Hutchinson and P. E. Gessler, Splines – more than just a smooth interpolator, Geoderma 62(1-3) (1994), 45-67. [7] J. T. Kent and K. V. Mardia, The Link Between Kriging and Thin-plate Splines, Department of Statistics, University of Leeds, UK, 1994. [8] G. M. Laslett, Kriging and splines: an empirical comparison of their predictive performance in some applications, J. Amer. Statist. Assoc. 89(426) (1994), 391-400.

Keywords and phrases: spatial data, spline, kriging.