| Neutrosophic Weibull {ntsDists} | R Documentation |
Neutrosophic Weibull Distribution
Description
Density, distribution function, quantile function and random
generation for the neutrosophic Weibull distribution with scale
parameter \alpha_N and shape parameter \beta_N.
Usage
dnsWeibull(x, shape, scale)
pnsWeibull(q, shape, scale, lower.tail = TRUE)
qnsWeibull(p, shape, scale)
rnsWeibull(n, shape, scale)
Arguments
x |
a vector or matrix of observations for which the pdf needs to be computed. |
shape |
shape parameter, which must be a positive interval. |
scale |
scale parameter, which must be a positive interval. |
q |
a vector or matrix of quantiles for which the cdf needs to be computed. |
lower.tail |
logical; if TRUE (default), probabilities are
|
p |
a vector or matrix of probabilities for which the quantile needs to be computed. |
n |
number of random values to be generated. |
Details
The neutrosophic Rayleigh distribution with parameters
\alpha_N and \beta_N has the density
f_N(x)=\frac{\beta_N}{\alpha_N^{\beta_N}} x^{\beta_N-1}
\exp\{-\left(x / \alpha_N\right)^{\beta_N}\}
for \beta_N \in (\beta_L, \beta_U) the shape parameter must
be a positive interval, \alpha_N \in (\alpha_L,\alpha_U),
the scale parameter which be a positive interval, and x > 0.
Value
dnsWeibull gives the density function
pnsWeibull gives the distribution function
qnsWeibull gives the quantile function
rnsWeibull generates random variables from the neutrosophic Weibull dDistribution.
References
Alhasan, K. F. H. and Smarandache, F. (2019). Neutrosophic Weibull distribution and Neutrosophic Family Weibull Distribution, Neutrosophic Sets and Systems, 28, 191-199.
Examples
data(remission)
dnsWeibull(x = remission, shape = c(1.0519, 1.0553), scale = c(9.3370, 9.4544))
pnsWeibull(q = 20, shape = c(1.0519, 1.0553), scale = c(9.3370, 9.4544))
# Calculate quantiles
qnsWeibull(p = c(0.25, 0.5, 0.75), shape = c(1.0519, 1.0553), scale = c(9.3370, 9.4544))
# Simulate 10 numbers
rnsWeibull(n = 10, shape = c(1.0519, 1.0553), scale = c(9.3370, 9.4544))