Importance of Orthogonalization Algorithm in Modeling Conditional Distributions by Orthogonal Transformed Indicator Methods

Author： Tercan A.E.

Publisher： Springer Publishing Company

ISSN： 0882-8121

Source： Mathematical Geology, Vol.31, Iss.2, 1999-02, pp. : 155-173

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Modeling Conditional Distributions of Facies from Seismic Using Neural Nets

By Caers J.

Mathematical Geology, Vol. 34, Iss. 2, 2002-02 ,pp. : 143-167

Springer Publishing Company

Access to resources Recommend Favorite

Successive Nonparametric Estimation of Conditional Distributions

By Vargas-Guzmán J.A. Dimitrakopoulos R.

Mathematical Geology, Vol. 35, Iss. 1, 2003-01 ,pp. : 39-52

Springer Publishing Company

Access to resources Recommend Favorite

Pivotal methods in the propagation of distributions

By Wang C M Hannig Jan Iyer Hari K

Metrologia, Vol. 49, Iss. 3, 2012-06 ,pp. : 382-389

IOP Publishing

Access to resources Recommend Favorite

Conditional Simulation of Random Fields with Bivariate Gamma Isofactorial Distributions

By Emery Xavier

Mathematical Geology, Vol. 37, Iss. 4, 2005-05 ,pp. : 419-445

Springer Publishing Company

Access to resources Recommend Favorite

A Fixed-Path Markov Chain Algorithm for Conditional Simulation of Discrete Spatial Variables

By Li Weidong

Mathematical Geology, Vol. 39, Iss. 2, 2007-02 ,pp. : 159-176

Springer Publishing Company

Access to resources Recommend Favorite