records

The dataset <code>records</code> is concerned with the yearly best men's outdoor 1500m times starting from 1966. Following Jirak, Meister and Reiss (2014), the lower boundary can be 
interpreted as the best possible time for a given year. This boundary is not believed to be shape constrained and can be estimated by any unconstrained shape nonparametric method.

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

records function

A data frame with 46 observations on the following 2 variables.<dl>
 <dt><code>year</code></dt>
<dd>year.</dd> <dt><code>result</code></dt>
<dd>1500m record in seconds.</dd> 
</dl>

Format

Annual sport records — records

A data frame with 46 observations on the following 2 variables.<dl>
 <dt><code>year</code></dt>
<dd>year.</dd>

 <dt><code>result</code></dt>
<dd>1500m record in seconds.</dd>

 
</dl>

records: Annual sport records

Description

Usage

Arguments

Format

References

Examples