post

The dataset <code>post</code> about the cost of the delivery activity of the postal services in Europe was first analyzed by Cazals, Florens and Simar (2002). 
There are 4,000 post offices observed in 1994. For each post office \(i\), the input \(x_i\) is the labor cost measured by the quantity of labor, 
which represents more than \(80\%\) of the total cost of the delivery activity. The output \(y_i\) is defined as the volume of delivered mail (in number of objects). It should be noted that noise has been added to the original data.

datasets

A variety of functions for the best known and most innovative approaches to nonparametric boundary estimation. The selected methods are concerned with empirical, smoothed, unrestricted as well as constrained fits under both separate and multiple shape constraints. They cover robust approaches to outliers  as well as data envelopment techniques based on piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing. The package also seamlessly allows for Monte Carlo comparisons among these different estimation methods.  Its use is illustrated via a number of empirical applications and simulated examples.

Thibault Laurent

npbr

Nonparametric Boundary Regression

post function

A data frame with 4000 observations on the following 2 variables.<dl>
 <dt><code>xinput</code></dt>
<dd>a numeric vector.</dd> <dt><code>yprod</code></dt>
<dd>a numeric vector.</dd> 
</dl>

Format

European postal services — post

A data frame with 4000 observations on the following 2 variables.<dl>
 <dt><code>xinput</code></dt>
<dd>a numeric vector.</dd>

 <dt><code>yprod</code></dt>
<dd>a numeric vector.</dd>

 
</dl>

post: European postal services

Description

Usage

Arguments

Format

References

Examples