gbaepfit1

Usage

Overview

Fit asymmetric power exponential density using maximum-likelihood. Fit asymmetric power exponential density. Read from files of from standard input

-O

output type (default 0)

-x

set initial conditions bl,br,al,ar,m (default 2,2,1,1,0)

-m

the mode is not estimated but is set to the value provided

-s

number of intervals to explore at each iteration (default 10)

-V

verbosity level (default 0)

-M

active estimation steps. The value is the sum of (default 6)

-G

set global optimization options. Fields are step,tol,iter,eps,msize,algo. Empty field implies default (default .1,1e-2,100,1e-3,1e-5,2,0)

-I

set local optimization options. Fields are step,tol,iter,eps,msize,algo. Empty field implies default (default .01,1e-3,200,1e-3,1e-5,5,0)

The optimization parameters are step initial step size of the searching algorithm

tol

line search tolerance iter: maximum number of iterations

eps

gradient tolerance : stopping criteria ||gradient||<eps

msize

simplex max size : stopping criteria ||max edge||<msize

algo

optimization methods: 0 Fletcher-Reeves, 1 Polak-Ribiere, 2 Broyden-Fletcher-Goldfarb-Shanno, 3 Steepest descent, 4 Nelder-Mead simplex, 5 Broyden-Fletcher-Goldfarb-Shanno ver.2 6 Nelder-Mead simplex ver. 2, 7 Nelder-Mead simplex rnd init.

Examples

gbaepfit -m 1 -M 4 <file

estimate bl,br,al,ar with m=1 and skipping initial global optimization