int_est1: Interval estimation for one-sided M-Wright distribution

In MWright: Mainardi-Wright Family of Distributions

Description

Confidence intervals for the model parameters.

Usage

int_est1(x, lev)

Arguments

x	numeric vector
lev	confidence level.

Value

matrix

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)
int_est1(mwright_1sided ,0.95)

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