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ParetoPosStable (version 1.0.1)

pareto.fit: Fitting a Pareto distribution

Description

It is an auxiliar function for fitting a Pareto distribution as a particular case of a Pareto Positive Stable distribution, allowing the scale parameter to be held fixed if desired.

Usage

pareto.fit(x, estim.method = "MLE", sigma = NULL, start, ...)

Arguments

x
the vector of observations.
estim.method
the estimation method, "MLE" or "OLS"
sigma
the value of the scale parameter, if it is known; if the value is NULL, the parameter is estimated.
start
unused argument from PPS.fit.
...
other arguments

Value

  • A PPSfit Object.

Details

This function is called by PPS.fit() when Pareto argument is TRUE.

References

Sarabia, J.M and Prieto, F. (2009). The Pareto-positive stable distribution: A new descriptive model for city size data, Physica A: Statistical Mechanics and its Applications, 388(19), 4179-4191.

See Also

PPS.fit, coef.PPSfit, print.PPSfit, plot.PPSfit, GoF.PPSfit