StochasticDominance-class

Represents two distributions (prospects) that are going to be compared using
Stochastic Dominance (SD).

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

StochasticDominance-class function

<dl>
<dt><code>outcome</code></dt>
<dd>Numeric vector. The combined outcome values in ascending order.</dd></dl>
<dt><code>prob1,prob2</code></dt>
<dd>Numeric vectors. Probabilities corresponding to the prospects.</dd>
<dt><code>cdf1,cdf2</code></dt>
<dd>Numeric vectors. Cumulative values corresponding to the
prospects.</dd>
<dt><code>ssd1,ssd2</code></dt>
<dd>Numeric vectors. SSD values corresponding to the prospects.</dd>

Slots

StochasticDominance Class — StochasticDominance-class

<dl>
<dt><code>outcome</code></dt>
<dd>Numeric vector. The combined outcome values in ascending order.</dd>


<dt><code>prob1,prob2</code></dt>
<dd>Numeric vectors. Probabilities corresponding to the prospects.</dd>


<dt><code>cdf1,cdf2</code></dt>
<dd>Numeric vectors. Cumulative values corresponding to the
prospects.</dd>


<dt><code>ssd1,ssd2</code></dt>
<dd>Numeric vectors. SSD values corresponding to the prospects.</dd>


</dl>

StochasticDominance-class: StochasticDominance Class

Description

Arguments

Slots

Details