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! ]

A Gibbs’ Sampler for the Parameters of a Truncated Multivariate Normal Distribution

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
William Griffiths

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

Abstract

The inverse distribution function method for drawing randomly from normal and truncated normal distributions is used to set up a Gibbs’ sampler for the posterior density function of the parameters of a truncated multivariate normal distribution. The sampler is applied to shire level rainfall for five shires in Western Australia.

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 page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.economics.unimelb.edu.au/SITE/research/workingpapers/wp02/856.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 856.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 16 pages
Date of creation: 2002
Date of revision:
Handle: RePEc:mlb:wpaper:856

Contact details of provider:
Postal: Department of Economics, The University of Melbourne, 5th Floor, Economics and Commerce Building, Victoria, 3010, Australia
Phone: +61 3 8344 5289
Fax: +61 3 8344 6899
Email:
Web page: http://www.economics.unimelb.edu.au
More information through EDIRC

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

Related research
Keywords:

Other versions of this item:

References listed on IDEAS
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. Gary Koop & M. F. J. Steel, 2004. "Bayesian Analysis of Stochastic Frontier Models," ESE Discussion Papers 19, Edinburgh School of Economics, University of Edinburgh.
  2. William H. Greene, 1993. "Frontier Production Functions," Working Papers 93-20, New York University, Leonard N. Stern School of Business, Department of Economics.
  3. William E Griffiths & Lisa S Newton & Christopher J O’Donnell, 2008. "Predictive Densities for Shire Level Wheat Yield in Western Australia," Department of Economics - Working Papers Series 1051, The University of Melbourne. [Downloadable!]
  4. Peter Schmidt, 1985. "Frontier production functions," Econometric Reviews, Taylor and Francis Journals, vol. 4(2), pages 289-328. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? It is the publishers that input data about their publications, as there is no staff at RePEc.

This page was last updated on 2009-11-23.

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.