DIPTEST: Stata module to compute dip statistic to test for unimodality

Nicholas Cox

Statistical Software Components from Boston College Department of Economics

Abstract: diptest calculates and displays the dip statistic to test for unimodality. This statistic is the maximum difference between the empirical distribution function and the unimodal distribution function that minimises that maximum difference. The dip thus measures departure of a sample from unimodality and was proposed by Hartigan and Hartigan (Annals of Statistics 1985) as a test statistic for unimodality. Hartigan (Applied Statistics 1985) published Fortran code. Maechler (2003) published corrected C code as part of an R package diptest. The reference distribution for calculating the dip statistic is the uniform, as a worst case unimodal distribution. P-values are calculated by comparing the dip statistic obtained with those for repeated samples of the same size from a uniform distribution.

Language: Stata
Requires: Stata version 9
Keywords: Hartigan dip test; mode; modality; distribution function (search for similar items in EconPapers)
Date: 2009-02-02, Revised 2016-12-19
Note: This module should be installed from within Stata by typing "ssc install diptest". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/d/diptest.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/diptest.sthlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s456998

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().