Predictive densities for shire level wheat yield in Western Australia [electronic resource] / by Wil...
Predictive densities for shire level wheat yield in Western Australia [electronic resource] / by Wil...
Predictive densities for shire level wheat yield in Western Australia [electronic resource] / by William E. Griffiths, Lisa S. Newton & Christopher J. O'Donnell.
About this item
Full title
Author / Creator
Publisher
Melbourne : Dept. of Economics, University of Melbourne, 2008.
Date
2008.
Record Identifier
MMS ID
Language
English
Formats
Publication information
Publisher
Melbourne : Dept. of Economics, University of Melbourne, 2008.
Series
Place of Publication
Victoria
Date Published
2008.
Subjects
More information
Scope and Contents
Summary
Wheat yield in Western Australia (WA) depends critically on rainfall during three periods - germination, growing and flowering. The degree of uncertainty attached to a wheat-yield prediction depends on whether the prediction is made before or after the rainfall in each period has been realised. Bayesian predictive densities that reflect the differe...
Alternative Titles
Full title
Predictive densities for shire level wheat yield in Western Australia [electronic resource] / by William E. Griffiths, Lisa S. Newton & Christopher J. O'Donnell.
Authors, Artists and Contributors
Author / Creator
Notes
General note
Research paper / University of Melbourne, Dept. of Economics, 0819-2642 ; no. 1051.
Title from title screen (viewed on 19 Sept. 2011)
"August 2008".
Includes bibliographical references (p. 21)
System details note
Mode of access: Internet via World Wide Web. Address as at 19/09/2011: http://www.economics.unimelb.edu.au/research/workingPapers.html.
System requirements: Adobe Acrobat reader to access the document in PDF format.
Contextual Information
Other version (online)
Identifiers
Primary Identifiers
Record Identifier
74VvKxqObVpZ
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/74VvKxqObVpZ
Other Identifiers
ISBN
9780734040176
DDC
338.109941
MMS ID
991007961989702626
