burnRate

The <code>burnRate</code> data frame contains laboratory data on the
proportion of remaining fuel in a piece of wood that has burned
for a fixed period of time subjected to a fixed windspeed.

datasets

Functions and data sets inspired by data sharpening -
data perturbation to achieve improved performance in
nonparametric estimation, as described in Choi, E., Hall, P.
and Rousson, V. (2000) <doi:10.1214/aos/1015957396>.
Capabilities for enhanced local linear regression function
and derivative estimation are included, as well as an
asymptotically correct iterated data sharpening estimator
for any degree of local polynomial regression estimation.
A cross-validation-based bandwidth selector is included which,
in concert with the iterated sharpener, will often provide
superior performance, according to a median integrated squared
error criterion. Sample data sets are provided to illustrate
function usage.

W.J. Braun

sharpData

Data Sharpening

burnRate function

This data frame contains the following columns:<dl class="dl-horizontal">
 <dt>proportionBurned</dt><dd>a numeric vector</dd>
 <dt>densityRatio</dt><dd>ratio of windspeed, multiplied by density of air,
 to density of firebrand</dd>
 </dl>

Format

Firebrand Burning Properties — burnRate

This data frame contains the following columns:<dl class='dl-horizontal'>
 <dt>proportionBurned</dt><dd>a numeric vector</dd>
 <dt>densityRatio</dt><dd>ratio of windspeed, multiplied by density of air,
 to density of firebrand</dd>
 </dl>

burnRate: Firebrand Burning Properties

Description

Usage

Arguments

Format