calc.area.below.line

It takes four parameters as the coordinates of two points at the beginning
and end of a straight line, and calculates the area exactly below the line
(between the line and the x-axis).

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

calc.area.below.line function

<dl><dt>x1, x2</dt>
<dd>Float values, indicating the first coordinates of start and end
points, respectively.</dd>
<dt>y1, y2</dt>
<dd>Float values, indicating the second coordinates of start and end
points, respectively.</dd></dl>

Arguments

Calculates the area between x-axis and a straight line — calc.area.below.line

<dl>

<dt>x1, x2</dt>
<dd>Float values, indicating the first coordinates of start and end
points, respectively.</dd>


<dt>y1, y2</dt>
<dd>Float values, indicating the second coordinates of start and end
points, respectively.</dd>

</dl>

calc.area.below.line: Calculates the area between x-axis and a straight line

Description

Usage

Value

Arguments