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Determines the set of stochastic dominant variables for various degrees.
NNS.SD.efficient.set(x, degree, type = "discrete")
a numeric matrix or data frame.
numeric options: (1, 2, 3); Degree of stochastic dominance test from (1, 2 or 3).
options: ("discrete", "continuous"); "discrete" (default) selects the type of CDF.
"discrete"
Returns set of stochastic dominant variable names.
Viole, F. and Nawrocki, D. (2016) "LPM Density Functions for the Computation of the SD Efficient Set." Journal of Mathematical Finance, 6, 105-126. https://www.scirp.org/Journal/PaperInformation.aspx?PaperID=63817.
Viole, F. (2017) "A Note on Stochastic Dominance." https://www.ssrn.com/abstract=3002675.
# NOT RUN { set.seed(123) x <- rnorm(100) ; y<-rnorm(100) ; z<-rnorm(100) A <- cbind(x, y, z) NNS.SD.efficient.set(A, 1) # }
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