ssd.calc

Calculates the SSD values for a prospect.

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

ssd.calc function

<dl><dt>outcome</dt>
<dd>Numeric vector, indicating the outcome values.</dd>
<dt>cdf</dt>
<dd>Numeric vector, indicating the cumulative probabilities.</dd></dl>

Arguments

Calculates the SSD values for a prospect. — ssd.calc

<dl>

<dt>outcome</dt>
<dd>Numeric vector, indicating the outcome values.</dd>


<dt>cdf</dt>
<dd>Numeric vector, indicating the cumulative probabilities.</dd>

</dl>

ssd.calc: Calculates the SSD values for a prospect.

Description

Usage

Value

Arguments