are.lmom.valid

An L-moment object created by <code><a rd-options="" href="/link/lmoms?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::lmoms">lmoms</a></code>, <code><a rd-options="" href="/link/lmom.ub?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::lmom.ub">lmom.ub</a></code>, <code><a rd-options="" href="/link/pwm2lmom?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::pwm2lmom">pwm2lmom</a></code>.

lmom


The L-moments have particular constraints on magnitudes and relation to each other.  This function evaluates and L-moment object whether the bounds for L-scale ($\lambda_2 > 0$), L-skew ($|\tau_3| < 1)$, L-kurtosis ($0.25(5\tau_3^2 - 1) \le \tau_4 < 1$), and $|\tau_5| < 1$ are satisfied. The TL-moments as implemented by the <code>TL</code> functions in <span class="pkg">lmomco</span> are not applicable to the boundaries consulted within this function.


L-moment (theoretical)

L-moment (validation)

Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy.) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 quantile function operators for reliability and survival analyses.  Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: 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 Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev.-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric association.

William Asquith

lmomco

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

are.lmom.valid function

An L-moment object created by <code><a rd-options='' href='lmoms'>lmoms</a></code>, <code><a rd-options='' href='lmom.ub'>lmom.ub</a></code>, <code><a rd-options='' href='pwm2lmom'>pwm2lmom</a></code>.


The L-moments have particular constraints on magnitudes and relation to each other.  This function evaluates and L-moment object whether the bounds for L-scale ($\lambda_2 > 0$), L-skew ($|\tau_3| < 1)$, L-kurtosis ($0.25(5\tau_3^2 - 1) \le \tau_4 < 1$), and $|\tau_5| < 1$ are satisfied. The TL-moments as implemented by the <code>TL</code> functions in <span class = "pkg">lmomco</span> are not applicable to the boundaries consulted within this function.


are.lmom.valid: Are the L-moments valid

Description

Usage

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Value

References

See Also

Examples