85
Johnson, R.A. & Wichern, D.W. 1982. Applied multivariate statistical analysis. Englewood Cliffs, NJ,
Prentice-Hall.
Leuangthong, O. & Deutsch, C.V. 2003. Stepwise conditional transformation for simulation of multiple
variables, Mathematical Geology 35(2):155–173.
Mueller, U.A. & Ferreira, J. 2012. The U-WEDGE transformation method for multivariate geostatistical simulation, Mathematical Geosciences 44(4): 427–448.
Pawlowsky-Glahn, V. & Olea, R.A. 2004. Geostatistical Analysis of Compositional Data, Oxford University Press, 181 p.
Pawlowsky-Glahn, V. & Egozcue, J. 2006. Compositional data and their analysis: an introduction. Geological Society, London, Special Publications, pp. Geological Society, London, Special Publications
2006, v.264; p1–10.
Pyrcz, M. & Deutsch, C. 2003. Declustering and debiasing, downloaded from http://www.gaa.org.au/
pdf/DeclusterDebias-CCG.pdf (February, 2019).
Silva, D. & Deutsch, C. 2016. Multivariate data imputation using Gaussian mixture models. Spatial
Statistics.
Suro-Perez, V. & Journel, A.G. 1991. Indicator Principal Component Kriging, Mathematical Geology,
23(5): 759–788. https://doi.org/10.1007/BF02082535.
Verly, G. 1993. Sequential Gaussian co-simulation: a simulation method integrating several types of
information, Geostatistics Troia ’92, A. Soares (ed.), volume 1, 543–554, Kluwer Academic Publishers,
Dordrecht.
Wackernagel, H. 2003. Multivariate geostatistics. Third Edition. Berlin, Springer. 387 p.
Webster, R. & Oliver, M.A. 1990. Statistical methods in soil and land resource survey, Oxford University
Press, New York, 316 p.
Johnson, R.A. & Wichern, D.W. 1982. Applied multivariate statistical analysis. Englewood Cliffs, NJ,
Prentice-Hall.
Leuangthong, O. & Deutsch, C.V. 2003. Stepwise conditional transformation for simulation of multiple
variables, Mathematical Geology 35(2):155–173.
Mueller, U.A. & Ferreira, J. 2012. The U-WEDGE transformation method for multivariate geostatistical simulation, Mathematical Geosciences 44(4): 427–448.
Pawlowsky-Glahn, V. & Olea, R.A. 2004. Geostatistical Analysis of Compositional Data, Oxford University Press, 181 p.
Pawlowsky-Glahn, V. & Egozcue, J. 2006. Compositional data and their analysis: an introduction. Geological Society, London, Special Publications, pp. Geological Society, London, Special Publications
2006, v.264; p1–10.
Pyrcz, M. & Deutsch, C. 2003. Declustering and debiasing, downloaded from http://www.gaa.org.au/
pdf/DeclusterDebias-CCG.pdf (February, 2019).
Silva, D. & Deutsch, C. 2016. Multivariate data imputation using Gaussian mixture models. Spatial
Statistics.
Suro-Perez, V. & Journel, A.G. 1991. Indicator Principal Component Kriging, Mathematical Geology,
23(5): 759–788. https://doi.org/10.1007/BF02082535.
Verly, G. 1993. Sequential Gaussian co-simulation: a simulation method integrating several types of
information, Geostatistics Troia ’92, A. Soares (ed.), volume 1, 543–554, Kluwer Academic Publishers,
Dordrecht.
Wackernagel, H. 2003. Multivariate geostatistics. Third Edition. Berlin, Springer. 387 p.
Webster, R. & Oliver, M.A. 1990. Statistical methods in soil and land resource survey, Oxford University
Press, New York, 316 p.