| bwd | R Documentation | 
Density, distribution function, quantile function and random generation for
a Bimodal Weibull distribution with parameters shape and scale.
dbwd(x, alpha, beta = 1, sigma, log = FALSE)
pbwd(q, alpha, beta = 1, sigma, lower.tail = TRUE, log.p = FALSE)
qbwd(p, alpha, beta = 1, sigma, lower.tail = TRUE)
rbwd(n, alpha, beta = 1, sigma)
x, q | 
 vector of quantiles.  | 
alpha | 
 a shape parameter.  | 
beta | 
 a scale parameter.  | 
sigma | 
 a control parameter that controls the uni- or bimodality of the distribution.  | 
log, log.p | 
 logical; if TRUE, probabilities p are given as log(p).  | 
lower.tail | 
 logical; if TRUE (default), probabilities are
  | 
p | 
 vector of probabilities.  | 
n | 
 number of observations. If   | 
A Bimodal Weibull distribution with shape parameter \alpha,
scale parameter \beta,and the control parameter
\sigma that determines the uni- or bimodality of the
distribution, has density
f\left( x\right) =\frac{\alpha }{\beta Z_{\theta }}
\left[ 1+\left( 1-\sigma~x\right) ^{2}\right] \left( \frac{x}{\beta }
\right) ^{\alpha -1}\exp \left( -\left( \frac{x}{\beta }\right) ^{\alpha }
\right),
where
Z_{\theta }=2+\sigma ^{2}\beta ^{2}\Gamma
\left( 1+\left( 2/\alpha \right)\right) -2\sigma \beta \Gamma
\left( 1+\left( 1/\alpha \right) \right) 
and
x\geq 0,~\alpha ,\beta >0~ and ~\sigma \in\mathbb{R}.
dbwd gives the density, pbwd gives the distribution
function, qbwd gives the quantile function and rbwd generates
random deviates.
Vila, R. ve Niyazi Çankaya, M., 2022, A bimodal Weibull distribution: properties and inference, Journal of Applied Statistics, 49 (12), 3044-3062.
library(new.dist)
dbwd(1,alpha=2,beta=3,sigma=4)
pbwd(1,alpha=2,beta=3,sigma=4)
qbwd(.7,alpha=2,beta=3,sigma=4)
rbwd(10,alpha=2,beta=3,sigma=4)
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