DEEVD

DEEVD-package

<p>Weibull and Gumbel kernel related functions are presented. <code><a rd-options="" href="/link/Weibull?package=DEEVD&version=1.2.1" data-mini-rdoc="DEEVD::Weibull">Weibull</a></code> and <code><a rd-options="" href="/link/Gumbel?package=DEEVD&version=1.2.1" data-mini-rdoc="DEEVD::Gumbel">Gumbel</a></code> present estimated values and <code><a rd-options="" href="/link/plot.Weibull?package=DEEVD&version=1.2.1" data-mini-rdoc="DEEVD::plot.Weibull">plot.Weibull</a></code> and <code><a rd-options="" href="/link/plot.Gumbel?package=DEEVD&version=1.2.1" data-mini-rdoc="DEEVD::plot.Gumbel">plot.Gumbel</a></code> plot the densities. While <code><a rd-options="" href="/link/mseweibull?package=DEEVD&version=1.2.1" data-mini-rdoc="DEEVD::mseweibull">mseweibull</a></code> and <code><a rd-options="" href="/link/msegumbel?package=DEEVD&version=1.2.1" data-mini-rdoc="DEEVD::msegumbel">msegumbel</a></code> calculate the Mean Squared Error (MSE).</p>

Provides mean squared error (MSE) and plot the kernel densities related to extreme value distributions with their estimated values.
By using Gumbel and Weibull Kernel. See Salha et al. (2014) <doi:10.4236/ojs.2014.48061> and Khan and Akbar (2020).

Javaria Khan

Density Estimation by Extreme Value Distributions

DEEVD-package function

<p>Weibull and Gumbel kernel related functions are presented. <code><a rd-options='' href='Weibull'>Weibull</a></code> and <code><a rd-options='' href='Gumbel'>Gumbel</a></code> present estimated values and <code><a rd-options='' href='plot.Weibull'>plot.Weibull</a></code> and <code><a rd-options='' href='plot.Gumbel'>plot.Gumbel</a></code> plot the densities. While <code><a rd-options='' href='mseweibull'>mseweibull</a></code> and <code><a rd-options='' href='msegumbel'>msegumbel</a></code> calculate the Mean Squared Error (MSE).</p>

DEEVD-package: DEEVD

Description

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Details

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See Also