mlgumbel

a (non-empty) numeric vector of data values.

logical. Should missing values be removed?

na.rm

<code>sigma0</code> is an optional starting value defaulting to <code>1</code>.
<code>rel.tol</code> is the relative accuracy requested, defaults to
<code>.Machine$double.eps^0.25</code>. <code>iterlim</code> is a positive integer
specifying the maximum number of iterations to be performed before the
program is terminated (defaults to <code>100</code>).

Uses Newton-Raphson to estimate the parameters of the Gumbel distribution.

User-friendly maximum likelihood estimation (Fisher (1921)
<doi:10.1098/rsta.1922.0009>) of univariate densities.

Jonas Moss

univariateML

Maximum Likelihood Estimation for Univariate Densities

Thomas Nagler

mlgumbel function

<dl><dt>x</dt>
<dd>a (non-empty) numeric vector of data values.</dd>
<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>
<dt>...</dt>
<dd><code>sigma0</code> is an optional starting value defaulting to <code>1</code>.
<code>rel.tol</code> is the relative accuracy requested, defaults to
<code>.Machine$double.eps^0.25</code>. <code>iterlim</code> is a positive integer
specifying the maximum number of iterations to be performed before the
program is terminated (defaults to <code>100</code>).</dd></dl>

Arguments

Gumbel distribution maximum likelihood estimation — mlgumbel

<dl>

<dt>x</dt>
<dd>a (non-empty) numeric vector of data values.</dd>


<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>


<dt>...</dt>
<dd><code>sigma0</code> is an optional starting value defaulting to <code>1</code>.
<code>rel.tol</code> is the relative accuracy requested, defaults to
<code>.Machine$double.eps^0.25</code>. <code>iterlim</code> is a positive integer
specifying the maximum number of iterations to be performed before the
program is terminated (defaults to <code>100</code>).</dd>

</dl>

mlgumbel: Gumbel distribution maximum likelihood estimation

Description

Usage

Value

Arguments

Details

References

See Also

Examples