fisherEl22Part2

Function computing part 2 of element [2, 2] for Fisher Information matrix computation. The Fisher Information matrix is
splitted in the four elements ([1, 1], [1, 2], [2, 1], [2, 2]). Each element is split in part 1 and part 2

An implementation for computing Optimal B-Robust Estimators of two-parameter
distribution. The procedure is composed of some equations
that are evaluated alternatively until the solution is reached. Some tools
for analyzing the estimates are included. The most relevant is
covariance matrix computation using a closed formula.

Fabio Piacenza

OBRE

Optimal B-Robust Estimator Tools

Andrea Riboldi

Ivan Luciano Danesi

Oliver Kuehnle

Davide Di Vincenzo

Ruben Ciaponi

Stephen Allen

Novella Saccenti

Annarita Filippi

fisherEl22Part2 function

<dl><dt>nvData</dt>
<dd>The vector of data.</dd>
<dt>nTheta1</dt>
<dd>The first parameter.</dd>
<dt>nTheta2</dt>
<dd>The second parameter.</dd>
<dt>lDensityExpr</dt>
<dd>List of symbolic expressions of density, cumulative and derivatives.</dd></dl>

Arguments

Part 2 of element [2, 2] for Fisher Information matrix — fisherEl22Part2

<dl>

<dt>nvData</dt>
<dd>The vector of data.</dd>


<dt>nTheta1</dt>
<dd>The first parameter.</dd>


<dt>nTheta2</dt>
<dd>The second parameter.</dd>


<dt>lDensityExpr</dt>
<dd>List of symbolic expressions of density, cumulative and derivatives.</dd>

</dl>

Part 2 of element [2, 2] for Fisher Information matrix

fisherEl22Part2: Part 2 of element [2, 2] for Fisher Information matrix

Description

Usage

Arguments