The t-statistic is proposed as a statistical indicator for the evaluation
and comparison of solar radiation estimation models. A relationship
was developed for the t-statistic as a function of the widely used
root mean square and mean bias errors. Using data published in the
solar energy literature, it was demonstrated that the use of the
root mean square and mean bias errors separately can lead to the
incorrect selection of the best model from a suite of candidate models.
It is recommended that the t-statistic be used in conjunction with
the root mean square and mean bias errors to more reliably assess
a model?s performance. The tstatistic has the added advantage of
enabling the model tester to determine whether or not a model?s estimates
are statistically significant at a particular confidence level.
%0 Journal Article
%1 Stone1993
%A Stone, R. J.
%D 1993
%J Solar Energy
%K MBE, RMSE, estimation models, radiation solar t-statistic
%N 4
%P 289--291
%T Improved statistical procedure for the evaluation of solar radiation
estimation models
%V 51
%X The t-statistic is proposed as a statistical indicator for the evaluation
and comparison of solar radiation estimation models. A relationship
was developed for the t-statistic as a function of the widely used
root mean square and mean bias errors. Using data published in the
solar energy literature, it was demonstrated that the use of the
root mean square and mean bias errors separately can lead to the
incorrect selection of the best model from a suite of candidate models.
It is recommended that the t-statistic be used in conjunction with
the root mean square and mean bias errors to more reliably assess
a model?s performance. The tstatistic has the added advantage of
enabling the model tester to determine whether or not a model?s estimates
are statistically significant at a particular confidence level.
@article{Stone1993,
abstract = {The t-statistic is proposed as a statistical indicator for the evaluation
and comparison of solar radiation estimation models. A relationship
was developed for the t-statistic as a function of the widely used
root mean square and mean bias errors. Using data published in the
solar energy literature, it was demonstrated that the use of the
root mean square and mean bias errors separately can lead to the
incorrect selection of the best model from a suite of candidate models.
It is recommended that the t-statistic be used in conjunction with
the root mean square and mean bias errors to more reliably assess
a model?s performance. The tstatistic has the added advantage of
enabling the model tester to determine whether or not a model?s estimates
are statistically significant at a particular confidence level.},
added-at = {2011-09-01T13:26:03.000+0200},
author = {Stone, R. J.},
biburl = {https://www.bibsonomy.org/bibtex/26534cf28f573028a942b39897e66d839/procomun},
file = {Stone1993.pdf:Stone1993.pdf:PDF},
interhash = {f4f3014994669964ddcc2a95ed34a18a},
intrahash = {6534cf28f573028a942b39897e66d839},
journal = {Solar Energy},
keywords = {MBE, RMSE, estimation models, radiation solar t-statistic},
number = 4,
owner = {oscar},
pages = {289--291},
refid = {Stone1993},
timestamp = {2011-09-02T08:25:25.000+0200},
title = {Improved statistical procedure for the evaluation of solar radiation
estimation models},
volume = 51,
year = 1993
}