Page 297 - Modern Spatiotemporal Geostatistics
P. 297
278 Modern Spatiotemporal Geostatistics
Harre, R., 1989. The Philosophies of Science. Oxford Univ. Press, New York, NY.
Harris, E.E., 1996. Hypothesis and Perception—The Roots of the Scientific Method.
Humanities Press Intl., Atlantic Highlands, NJ.
Heath, T.L., 1956 [1908]. The Thirteen Books of Euclid's Elements. Translated
from the text of Heiberg, Introduction and Commentary by Sir Thomas L.
nd
Heath, Dover, New York, NY [unabridged, unaltered repub. of 2 ed. of 1926].
Heine, V., 1955. Models for two-dimensional stationary stochastic processes. Bio-
metrika, v. 42, p. 170-178.
Hill, A.B., 1965. The environment and disease: Association or causation? Proc.
Royal Soc. Med., v. 58, p. 295-300.
Hoel, D.G. and PJ. Landrigan, 1987. Comprehensive evaluation of humans' data, in
R.G. Tardiff and J.V. Rodricks (Eds.), Toxic Substances and Human Risk—
Principles of Data Interpretation. Plenum Press, New York, NY, p. 121-130.
Honda Y., M. Ono, A. Sasaki, and I. Uchiyama, 1995. Relationship between daily
high temperature and mortality in Kyushu, Japan [in Japanese]. Japanese
Jour. Public Health, v. 42, no. 4, p. 260-8.
Howson, C. and P. Urbach, 1993. Scientific Reasoning: The Bayesian Approach.
Open Court Publ. Co., Chicago and La Salle, IL.
Hristopulos, D.T. and G. Christakos, 2000. Calculations of non-Gaussian multivariate
moments for BME analysis. Math. Geology, submitted.
Ito, K., 1954. Stationary random distributions. Univ. Kyoto, Memoirs College Sci.,
Series A, v. 3, no. 28, p. 209-223.
Ito, K. and G.D. Thurston, 1996. Daily PMjo mortality associations: An investigation
of at-risk subpopulations. Jour. Exposure Analysis & Environ. Epidemiol,
v. 6, p. 79-95.
Janssen, L.H.J.M., E. Buringh, A. van der Meulen, and K.D. van den Hout, 1999. A
method to estimate the distribution of various fractions of PMjo in ambient
air in The Netherlands. Atmospheric Environ., v. 33, p. 3325-3334.
Jaynes, E.T., 1983. Papers on probability, statistics and statistical physics, in R.D.
Rosenkrantz (Ed.), Synthese Library, Vol. 158. Reidel, Dordrecht, The
Netherlands.
Johnson, D.H. and D.E. Dudgeon, 1993. Array Signal Processing. Prentice Hall,
Englewood Cliffs, NJ.
Jones, J.A.A., 1997. Global Hydrology. Longman, Essex, UK.
Jones, R.H. and Y. Zhang, 1997. Models for continuous stationary space-time pro-
cesses, in T.G. Gregoire, D.R. Brillinger, PJ. Diggle, E. Russek-Cohen, W.G.
Warren, and R.D. Wolfinger (Eds.), Modelling Longitudinal and Spatially
Correlated Data. Springer-Verlag, New York, NY, p. 289-298.
Journel, A.G., 1974. Geostatistics for conditional simulation of orebodies. Economic
Geology, v. 69, p. 673-687.
Journel, A.G., 1983. Non-parametric estimation of spatial distributions. Math. Ge-
ology, v. 15, no. 3, p. 445-468.
Journel, A.G., 1986. Constrained interpolation and qualitative information: The soft
kriging approach. Math. Geology, v. 18, no. 3, p. 269-286.
Journel, A.G., 1989. Fundamentals of Geostatistics in Five Lessons. American
Geophys. Union, Washington, DC.
Journel, A.G. and C.J. Huijbregts, 1978. Mining Geostatistics. Academic Press,
London, UK.
Jumarie, G., 1990. Relative Information. Springer-Verlag, New York, NY.
Khoury, MJ. and Q. Yang, 1998. The future of genetic studies of complex human
diseases: An epidemiologic perspective. Epidemiology, v. 9, no. 3, p. 350-354.
Kitanidis, P.K., 1986. Parameter uncertainty in estimation of spatial functions:
Bayesian analysis. Water Resour. Res., v. 22, p. 449-507.