bgev.support

When the shape parameter <code>xi</code> is different from zero, the support
is truncated either at the left or at the right side of the real. 
Considering the support is particularly useful to estimating momoments and 
to compute the likelihood function.

 bgev 

 gev 

 bimodal 

 support 

Density, distribution function, quantile function random generation and estimation of bimodal GEV distribution given in Otiniano et al. (2023) <doi:10.1007/s10651-023-00566-7>. This new generalization of the well-known GEV (Generalized Extreme Value) distribution is useful for modeling heterogeneous bimodal data from different areas.

Thiago do Rego Sousa

bgev

Bimodal GEV Distribution with Location Parameter

Cira Otiniano Author

Yasmin Lirio Author

Thiago Sousa Developer

bgev.support function

<dl> <dt>mu</dt>
<dd>location parameter</dd> <dt>sigma</dt>
<dd>shape parameter</dd> <dt>xi</dt>
<dd>shape parameter</dd> <dt>delta</dt>
<dd>bimodality parameter</dd></dl>

Arguments

Author

Support of the bimodal GEV distribution — bgev.support

<dl>

 <dt>mu</dt>
<dd>location parameter</dd>

 <dt>sigma</dt>
<dd>shape parameter</dd>

 <dt>xi</dt>
<dd>shape parameter</dd>

 <dt>delta</dt>
<dd>bimodality parameter</dd>

</dl>

Support of the bimodal GEV distribution

bgev.support: Support of the bimodal GEV distribution

Description

Usage

Value

Arguments

Author

References

Examples