plot,PMM2fit,missing-method

Plot diagnostic plots for PMM2fit object

Implements the Polynomial Maximization Method ('PMM') for parameter estimation
in linear and time series models when error distributions deviate from normality.
The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary
least squares ('OLS') when errors exhibit significant skewness. Includes methods
for linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference.
Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>,
Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and
Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>.

Serhii Zabolotnii

EstemPMM

Polynomial Maximization Method for Non-Gaussian Regression

plot,PMM2fit,missing-method function

<dl><dt>x</dt>
<dd>PMM2fit object</dd>
<dt>y</dt>
<dd>Not used (compatibility with generic)</dd>
<dt>which</dt>
<dd>Set of plots to display (values 1-4)</dd>
<dt>...</dt>
<dd>Additional arguments passed to plotting functions</dd></dl>

Arguments

Plot diagnostic plots for PMM2fit object — plot,PMM2fit,missing-method

<dl>

<dt>x</dt>
<dd>PMM2fit object</dd>


<dt>y</dt>
<dd>Not used (compatibility with generic)</dd>


<dt>which</dt>
<dd>Set of plots to display (values 1-4)</dd>


<dt>...</dt>
<dd>Additional arguments passed to plotting functions</dd>

</dl>

plot,PMM2fit,missing-method: Plot diagnostic plots for PMM2fit object

Description

Usage

Value

Arguments