comparison

This function compares two numeric vectors. The vector whose all elements
smaller or equal to all elements of the other one where at least one element
is smaller, will be the winner.

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

comparison function

<dl><dt>x, y</dt>
<dd>Numeric vectors.</dd></dl>

Arguments

Comparing two numeric vectors — comparison

<dl>

<dt>x, y</dt>
<dd>Numeric vectors.</dd>

</dl>

comparison: Comparing two numeric vectors

Description

Usage

Value

Arguments

Details