This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Gauss Routines to Estimate Univariate and Bivariate Kernel Densities

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Geoffrey Shuetrim () (Australian Prudential Regulation Authority)

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.apra.gov.au/RePEc/RePEcDocs/Archive/code/cd0003.zip
File Format: application/zip
File Function: Gauss density estimation program
Download Restriction: no

Publisher Info
Software component provided by Australian Prudential Regulation Authority in its series Programs and Software with number cd0003.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Size:
Programming language:
Requires:
Date of creation: 23 Feb 1999
Date of revision:
Handle: RePEc:apr:aprsft:cd0003

Note: This software is provided for public non-commercial illustrative purposes only. The author takes no responsibility for any errors. Use it at your own risk.
Contact details of provider:
Postal: 400 George Street, Sydney, NSW 2000, Australia
Phone: +61 (0)2 9210 3000
Fax: +61 (0)2 9210 3022
Web page: http://www.apra.gov.au/

For technical questions regarding this item, or to correct its listing, contact: (Justin Harding).

Related research
Keywords: Kernel Density Histogram Gauss

Find related papers by JEL classification:
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Juan Miguel Benito & Roberto Ezcurra, 2004. "Spatial disparities in productivity and industry mix: The case of the European regions," ERSA conference papers ersa04p102, European Regional Science Association. [Downloadable!]
Statistics
Access and download statistics

Did you know? To receive notification of recent additions to the database, subscribe to the free NEP reports.

This page was last updated on 2008-9-27.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.