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This study deals with diffuse solar radiation estimation models along with statistical test methods used to statistically evaluate their performance.
Finally, a comparison between monthly models and general models is performed by statistical test methods such as R2, MPE and MAPE.
Using subjective and objective statistical test methods, normal distribution is found suitable to represent interface shear strengths and their derived strength parameters especially when variability is small.
Experimental results show that the proposed method gives more robust and accurate rank than other statistical test methods, such as t-test, Wilcoxon rank sum test and KS-test.
This work investigates the influence of cutting speed and workpiece constituents on the thrust force and torque developed in the conventional dry drilling of woven carbon fibre reinforced polymer (CFRP) composites using uncoated WC-Co tools, by applying experimental techniques and statistical test methods.
To indicate the performance of the models, the following statistical test methods are used: the coefficient of determination (R2), mean bias error (MBE), mean absolute bias error (MABE), mean percent error (MPE), mean absolute percent error (MAPE), root mean square error (RMSE) and the t-statistic method (tsta).
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This paper proposes a new statistical test method for the classification of the two kinds of signals in consideration of the total error probabilities.
In this paper, the proposed statistical test method takes the probability that OFDM is mistaken for SCLD (P SCLD|OFDM)) into consideration and the probability that SCLD is mistaken for OFDM (P OFDM |SCLD)) as well.
We also propose a new statistical test method to classify the two signals under the constraint of possible error recognition, with which an optimal threshold to distinguish OFDM and SCLD signals with the highest accuracy can be theoretically derived.
Data were examined for their distribution pattern for further choice of the statistical test method.
The statistical test method used was the Fisher's Exact test (significance level 0.05).
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