rmwright1: Random number generation for one-sided M-Wright distribution

In MWright: Mainardi-Wright Family of Distributions

Description

Generates random numbers.

Usage

rmwright1(n, nu, sc)

Arguments

n	sample size.
nu	a number between 0 and 1.
sc	a non-negative scale value.

Value

a vector of one-sided M-Wright distributed random numbers

References

Cahoy and Minkabo (2017). Inference for three-parameter M-Wright distributions with applications. Model Assisted Statistics and Applications, 12(2), 115-125. https://doi.org/10.3233/MAS-170388

Cahoy (2012). Moment estimators for the two-parameter M-Wright distribution. Computational Statistics, 27(3), 487-497. https://doi.org/10.1007/s00180-011-0269-x

Cahoy (2012). Estimation and simulation for the M-Wright function. Communications in Statistics-Theory and Methods, 41(8), 1466-1477. https://doi.org/10.1080/03610926.2010.543299

Cahoy (2011). On the parameterization of the M-Wright function. Far East Journal of Theoretical Statistics, 34(2), 155-164. http://www.pphmj.com/abstract/5767.htm

Mainardi, Mura, and Pagnini (2010). The M-Wright Function in Time-Fractional Diffusion Processes: A Tutorial Survey. Int. J. Differ. Equ., Volume 2010. https://doi.org/10.1155/2010/104505

Examples

mwright_1sided <- rmwright1(1000, 0.7, 0.4)
hist(mwright_1sided, br=30)

MWright documentation built on Aug. 8, 2019, 1:02 a.m.