Code covered by the BSD License  

Highlights from
fitmethis

Be the first to rate this file! 27 Downloads (last 30 days) File Size: 3.95 KB File ID: #40167 Version: 1.3
image thumbnail

fitmethis

by

 

04 Feb 2013 (Updated )

FITMETHIS finds best-fitting distribution to data vector

| Watch this File

File Information
Description

F= fitmethis(X) finds the distibution that best fits data in vector X among all distributions available in MATLAB's function MLE. Either continuous or discrete distributions are used based on user input or the type of data supplied (see below) The function returns a structure array with fields:
name: name of the distribution (see HELP MLE for a list)
par: vector of parameter estimates (1, 2 or 3 values)

ci: matrix of confidence limits, one column per parameter

LL: Log-Likelihood of the data

aic: Akaike Information Criterion

Optional arguments can be specified as name/value pairs (see help).

Required Products Statistics and Machine Learning Toolbox
MATLAB release MATLAB 8.0 (R2012b)
MATLAB Search Path
/
Tags for This File   Please login to tag files.
Please login to add a comment or rating.
Comments and Ratings (2)
01 May 2015 AUROJYOTI PRUSTY

Nice piece of work.I am so thankful to you as this code has solved much of my research work.The problem is, I also wanna find out the mean and SD of that distribution.So how could I do that?

Comment only
05 Feb 2013 Francisco de Castro

I didn't realize there was already a function to do this (more comprehensive, probably): ALLFITDIS by Mike Sheppard.

Comment only
Updates
29 Oct 2013 1.1

Modify helper function plotfitdist.m

11 Nov 2014 1.2

Better handling of preferred distribution

11 Nov 2014 1.3

Better handling of preferred distribution in FITMETHIS. Better plot of discrete distributions in PLOTFITDIST

Contact us