The estimation and prediction results of these models were compared with two other soft computing methods (ANN (Artificial Neural Network) and GP (Genetic programming)) by using three statistical indicators i.e. RMSE (root means square error), coefficient of determination (R2) and Pearson coefficient (r).
The size of feature vectors was reduced by using five statistical parameters to get rid of the computing load.
We tested the differences in patient expenditure and provider costs by using two statistical tests.
We examined changes in resistance prevalence during 1996 1999 in 23 hospitals by using two statistical methods.
However, FASTER annotates each cluster, not an epoch, by using two statistical values of each cluster: the median logarithm of EMG power and EEG delta power.
In this study, outliers of microRNA expression in PCa microarray datasets were detected by using six statistical methods: LSOSS, COPA, MOST, ORT, OS and t-test.
We were able to confirm this finding by using two statistical techniques, namely, logistic regression multivariable analysis and propensity score matching.
The PTFs were derived by using three statistical methods: (i) linear regression where there were quantitative input variables, (ii) a regression tree for qualitative, quantitative and mixed types of information and (iii) mean statistics of developer-defined soil groups (class PTF) when only qualitative input parameters were available.
Media composition and culture conditions for surfactant stable alkaline protease production by Bacillus mojavensis A21 were optimized using two statistical methods.
Medium composition and culture conditions for the xylanases production by Bacillus mojavensis A21 were optimized using two statistical methods: Plackett Burman design applied to find the key ingredients and conditions for the best yield of enzyme production and Box Behnken design used to optimize the value of the four significant variables: barley bran, NaCl, agitation, and cultivation time.
