A nonparametric statistical procedure for ranking the overall performance of solar radiation models at multiple locations

R.J. Stone

Energy, 1994, vol. 19, issue 7, 765-769

Abstract: A nonparametric statistical procedure is presented as a solution to the problem of ranking the overall performance of solar radiation estimation models at multiple locations. The 11 steps of the computational procedure are demonstrated through the use of a worked example. The method not only allows models to be ranked based on their relative overall predictive accuracies but also enables the model tester to assess the level of statistical significance of the ranked order using critical z values of the normal probability distribution.

Date: 1994
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0360544294900140
Full text for ScienceDirect subscribers only

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:eee:energy:v:19:y:1994:i:7:p:765-769

DOI: 10.1016/0360-5442(94)90014-0

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().