ruben

distribution

Locations problems, M-estimates of coefficients and scale
in linear regression, Weights for bounded influence regression,
Covariance matrix of the coefficient estimates, Asymptotic
relative efficiency of regression M-estimates, Robust testing
in linear models, High breakdown point regression, M-estimates
of covariance matrices, M-estimates for discrete generalized
linear models.

A. Randriamiharisoa

robeth

R Functions for Robust Statistics

ruben function

<dl> <dt>xlmbda</dt>
<dd>See reference</dd> <dt>delta</dt>
<dd>See reference</dd> <dt>mult</dt>
<dd>See reference</dd> <dt>x</dt>
<dd>See reference</dd> <dt>xmode</dt>
<dd>See reference</dd> <dt>maxit</dt>
<dd>See reference</dd> <dt>eps</dt>
<dd>See reference</dd></dl>

Arguments

Cumulative distribution and density function of a linear
       combination of chi-2 random variables — ruben

<dl>

 <dt>xlmbda</dt>
<dd>See reference</dd>

 <dt>delta</dt>
<dd>See reference</dd>

 <dt>mult</dt>
<dd>See reference</dd>

 <dt>x</dt>
<dd>See reference</dd>

 <dt>xmode</dt>
<dd>See reference</dd>

 <dt>maxit</dt>
<dd>See reference</dd>

 <dt>eps</dt>
<dd>See reference</dd>

</dl>

ruben: Cumulative distribution and density function of a linear combination of chi-2 random variables

Description

Usage

Value

Arguments

References