Determines the set of stochastic dominant variables for various degrees.
Usage
NNS.SD.efficient.set(x, degree, type = "discrete", status = TRUE)
Value
Returns set of stochastic dominant variable names.
Arguments
x
a numeric matrix or data frame.
degree
numeric options: (1, 2, 3); Degree of stochastic dominance test from (1, 2 or 3).
type
options: ("discrete", "continuous"); "discrete" (default) selects the type of CDF.
status
logical; TRUE (default) Prints status update message in console.
Author
Fred Viole, OVVO Financial Systems
References
Viole, F. and Nawrocki, D. (2016) "LPM Density Functions for the Computation of the SD Efficient Set." Journal of Mathematical Finance, 6, 105-126. tools:::Rd_expr_doi("10.4236/jmf.2016.61012").
Viole, F. (2017) "A Note on Stochastic Dominance." tools:::Rd_expr_doi("10.2139/ssrn.3002675")