are.pargep.valid

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (<code>cdfgep</code>, <code>pdfgep</code>, <code>quagep</code>, and
<code>lmomgep</code>) require consistent parameters to return the cumulative
probability (nonexceedance), density, quantile, and L-moments of the distribution,
respectively. These functions internally use the <code>are.pargep.valid</code>
function. The parameters must be \(\beta &gt; 0\), \(\kappa &gt; 0\), and \(h &gt; 0\).

utility (distribution)

Distribution: Generalized Exponential Poisson

utility (distribution/parameter validation)

Extensive functions for Lmoments (LMs) and probability-weighted moments (PWMs),
distribution parameter estimation, LMs for distributions, LM ratio diagrams, multivariate
Lcomoments, and asymmetric (asy) trimmed LMs (TLMs). Maximum likelihood and
maximum product spacings estimation are available. Right-tail and left-tail LM censoring
by threshold or indicator variable are available. LMs of residual (resid) and reversed
(rev) residual life are implemented along with 13 quantile operators for reliability analyses.
Exact analytical bootstrap estimates of order statistics, LMs, and LM var-covars are available.
Harri-Coble Tau34-squared Normality Test is available. Distributions with L, TL, and added
(+) support for right-tail censoring (RC) encompass: Asy Exponential (Exp) Power [L],
Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp
Poisson [L], Gen Extreme Value [L], Gen Lambda [L, TL], Gen Logistic [L], Gen Normal [L],
Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L],
Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L],
3p log-Normal [L], Pearson Type III [L], Polynomial Density-Quantile 3 and 4 [L],
Rayleigh [L], Rev-Gumbel [L+RC], Rice [L], Singh Maddala [L], Slash [TL], 3p Student t [L],
Truncated Exponential [L], Wakeby [L], and Weibull [L].

William Asquith

lmomco

L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments,
and Many Distributions

are.pargep.valid function

<dl> <dt>para</dt>
<dd>A distribution parameter list returned by <code>pargep</code> or <code>vec2par</code>.</dd> <dt>nowarn</dt>
<dd>A logical switch on warning suppression. If <code>TRUE</code> then <code>options(warn=-1)</code> is made and restored on return. This switch is to permit calls in which warnings are not desired as the user knows how to handle the returned value---say in an optimization algorithm.</dd></dl>

Arguments

Author

Are the Distribution Parameters Consistent with the Generalized Exponential Poisson Distribution — are.pargep.valid

<dl>

 <dt>para</dt>
<dd>A distribution parameter list returned by <code>pargep</code> or <code>vec2par</code>.</dd>

 <dt>nowarn</dt>
<dd>A logical switch on warning suppression. If <code>TRUE</code> then <code>options(warn=-1)</code> is made and restored on return. This switch is to permit calls in which warnings are not desired as the user knows how to handle the returned value---say in an optimization algorithm.</dd>

</dl>

are.pargep.valid: Are the Distribution Parameters Consistent with the Generalized Exponential Poisson Distribution

Description

Usage

Value

Arguments

Author

References

See Also

Examples