MME_DIST: Fitting parameters of PDF by means of moments method

MME_DISTR Documentation

Fitting parameters of PDF by means of moments method

Description

This function allows to fit several distribution functions to observed data by means of the moments method.

Usage

MME_DIST(Intensity, Type)

Arguments

Intensity

a numeric vector with intensity [mm/h] values of different years for a specific time duration (e.g. 5, 15, 120 minutes, etc.).

Type

a character specifying the name of distribution function that it will be employed: exponencial, gamma, gev, gumbel, log.normal3, normal, pearson, log.pearson3 and wakeby (see selecDIST).

Value

A list of:

  • Parameters a list with type of distribution fitted and values of its parameters

Author(s)

Albeiro Figueroa <cafigueroao@unal.edu.co> Water Resources Engineering Research Group - GIREH

Examples


# Meteorology station in the Farfan Airport in Tulua, Colombia.
data(inten)
Test.moments <- MME_DIST(Intensity = inten[,4], Type = "gumbel") 
## Results: xi = 71.50 ; alpha = 14.21


dazamora/IDFtool documentation built on Jan. 1, 2023, 3:29 p.m.