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Mapping an uncertainty zone between interpolated types of a categorical variable
(PERGAMON-ELSEVIER SCIENCE LTDOXFORD, 2012)
Categorical data cannot be interpolated directly because they are outcomes of discrete random variables. Thus, types of categorical variables are transformed into indicator functions that can be handled by interpolation ...
Mapping an uncertainty zone between interpolated types of a categorical variable
(Pergamon-Elsevier B.V. Ltd, 2012-03-01)
Categorical data cannot be interpolated directly because they are outcomes of discrete random variables. Thus, types of categorical variables are transformed into indicator functions that can be handled by interpolation ...
Mapping an uncertainty zone between interpolated types of a categorical variable
(Pergamon-Elsevier B.V. Ltd, 2012-03-01)
Categorical data cannot be interpolated directly because they are outcomes of discrete random variables. Thus, types of categorical variables are transformed into indicator functions that can be handled by interpolation ...
Mapping an uncertainty zone between interpolated types of a categorical variable
(Pergamon-Elsevier Science LtdOxford, 2012)
Mapping an uncertainty zone between interpolated types of a categorical variable
(Pergamon-Elsevier B.V. Ltd, 2013)
Conditional co-simulation of continuous and categorical variables for geostatistical applications
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
The modeling of uncertainty in continuous and categorical regionalized variables is a common issue in the geosciences. We present a hybrid continuous/categorical model, in which the continuous variable is represented by ...
Métodos de categorização de variáveis preditoras em modelos de regressão para variáveis binárias
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2017-06-13)
Regression models for binary response variables are very common in several areas of knowledge.
The most used model in these situations is the logistic regression model, which assumes that the
logit of the probability of ...
Conditional co-simulation of continuous and categorical variables for geostatistical applicationsCOMPUTERS & GEOSCIENCESComput. Geosci.
(PERGAMON-ELSEVIER SCIENCE LTD, 2017)
A categorical construction for the computational definition of vector spaces
(Springer, 2020-10)
Lambda-S is an extension to first-order lambda calculus unifying two approaches of non-cloning in quantum lambda-calculi. One is to forbid duplication of variables, while the other is to consider all lambda-terms as algebraic ...