modif.outcome.ssd.calc

It modifies outcome vector to have all original plus intersection
points in ascending order. The corresponding SSD vectors will also be
returned.

The Stochastic Dominance (SD) is the classical way of comparing two
random prospects, using their distribution functions. Almost Stochastic
Dominance (ASD) has also been developed to cover the SD failures due to
the extreme utility functions. This package focuses on classical and heuristic methods
for testing the first and second SD and ASD methods given the probability mass
function (PMF) of the random prospects. The goal is to apply these methods
easily, efficiently, and effectively on real-world datasets. For more
details see Hanoch and Levy (1969) <doi:10.2307/2296431>, Leshno and Levy
(2002) <doi:10.1287/mnsc.48.8.1074.169>, and Tzeng et al. (2012)
<doi:10.1287/mnsc.1120.1616>.

Shayan Tohidi

Compares Random Distributions using Stochastic Dominance

Sigurdur Olafsson

modif.outcome.ssd.calc function

<dl><dt>sd.obj</dt>
<dd>StochasticDominance object.</dd></dl>

Arguments

Modify outcome and SSD vectors — modif.outcome.ssd.calc

<dl>

<dt>sd.obj</dt>
<dd>StochasticDominance object.</dd>

</dl>

modif.outcome.ssd.calc: Modify outcome and SSD vectors

Description

Usage

Value

Arguments