genrayleigh: Generalized Rayleigh Distribution Family Function

In VGAM: Vector Generalized Linear and Additive Models

Generalized Rayleigh Distribution Family Function

Description

Estimates the two parameters of the generalized Rayleigh distribution by maximum likelihood estimation.

Usage

genrayleigh(lscale = "loglink", lshape = "loglink",
            iscale = NULL,   ishape = NULL,
            tol12 = 1e-05, nsimEIM = 300, zero = 2)

Arguments

lscale, lshape	Link function for the two positive parameters, scale and shape. See Links for more choices.
iscale, ishape	Numeric. Optional initial values for the scale and shape parameters.
nsimEIM, zero	See CommonVGAMffArguments.
tol12	Numeric and positive. Tolerance for testing whether the second shape parameter is either 1 or 2. If so then the working weights need to handle these singularities.

Details

The generalized Rayleigh distribution has density function

f(y;b = scale,s = shape) = (2 s y/b^{2}) e^{-(y/b)^{2}} (1 - e^{-(y/b)^{2}})^{s-1}

where y > 0 and the two parameters, b and s, are positive. The mean cannot be expressed nicely so the median is returned as the fitted values. Applications of the generalized Rayleigh distribution include modeling strength data and general lifetime data. Simulated Fisher scoring is implemented.

Value

An object of class "vglmff" (see vglmff-class). The object is used by modelling functions such as vglm and vgam.

Note

We define scale as the reciprocal of the scale parameter used by Kundu and Raqab (2005).

Author(s)

J. G. Lauder and T. W. Yee

References

Kundu, D., Raqab, M. C. (2005). Generalized Rayleigh distribution: different methods of estimations. Computational Statistics and Data Analysis, 49, 187–200.

See Also

dgenray, rayleigh.

Examples

## Not run: Scale <- exp(1); shape <- exp(1)
rdata <- data.frame(y = rgenray(n = 1000, scale = Scale, shape = shape))
fit <- vglm(y ~ 1, genrayleigh, data = rdata, trace = TRUE)
c(with(rdata, mean(y)), head(fitted(fit), 1))
coef(fit, matrix = TRUE)
Coef(fit)
summary(fit) 
## End(Not run)

VGAM documentation built on Sept. 18, 2024, 9:09 a.m.