Results 11 to 20 of about 70 (69)
On three-parameter Grubbs copula-function
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A method to select bivariate copula functions
Summary: Copula functions have been extensively used in applied statistics, becoming a good alternative for modeling the dependence of multivariate data. Each copula function has a different dependence structure. An important issue in these applications is the choice of an appropriate copula function model for each case where standard classical or ...
Tovar Cuevas, José Rafael +2 more
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Application of Copula functions in statistics [PDF]
Studying associations among multivariate outcomes is an interesting problem in statistical science. The dependence between random variables is completely described by their multivariate distribution. When the multivariate distribution has a simple form, standard methods can be used to make inference.
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SYMMETRY AND COMPLEMENT FUNCTIONS OF A COPULA
Given a copula we target another copula and attempt to link themby using various two place functions.
SUNGUR ENGİN, A. +2 more
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Copula function theory and classification [PDF]
Zhigang Zhang, Yueguang Hu
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Distribution functions of multivariate copulas
Statistics & Probability Letters, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rodríguez-Lallena, José A. +1 more
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Copula Functions for Residual Dependency
Psychometrika, 2007Most item response theory models are not robust to violations of conditional independence. However, several modeling approaches (e.g., conditioning on other responses, additional random effects) exist that try to incorporate local item dependencies, but they have some drawbacks such as the nonreproducibility of marginal probabilities and resulting ...
Braeken, Johan +2 more
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On the relationship between modular functions and copulas
Fuzzy Sets and Systems, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bernard De Baets +3 more
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