Sentence examples for multiple determination and from inspiring English sources

They used the R 2 (coefficient of multiple determination) and the adjusted R 2 to evaluate the accuracy of their forecasting model.

The performance of the NN analysis was evaluated using a statistical indicator (the coefficient of multiple determination), and by examination of the error patterns.

The independent all-in-one sensor module highly favors shelf-storage between multiple determinations, and reusability of a same multi-microchannel flow-module for more than 35 days with intermittent storage (4 8 °C) has been confirmed.

One-way ANOVA statistical F-tests, coefficients of multiple determination (R and R adjusted) and fitting root-mean-square error (RMSEF) were calculated on the basis of total, model and error sum of squares (SS) resulting from the distances illustrated in Figure  9.

Based on the results of analysis of variance (ANOVA), a multiple determination coefficient of 0.8 and 0.99 were obtained for both RSM and ANN respectively.

Multiple determination coefficients (Ry.123) and adjusted multiple determination coefficients (adj-Ry.123) were also calculated to evaluate and compare the explanatory capacity of the BCSQ-36 and BCSQ-12.

The R2 (coefficient of multiple determination) - values is 0.99999, 0.999997 and 0.999993 for Reynolds number, heat transfer and Nusselt number respectively with unknown data set which is very satisfactory.

Across all scales, results demonstrated that only 4 of 26 species had a significant coefficient of multiple determination >0.5 between average bird counts and land use.

According to analysis of variance (ANOVA) the coefficient of multiple determination of 0.841 was obtained for RSM and 0.974 for ANN.

To replenish these cells, neoblasts residing deep in the mesenchyme must produce cells that mobilize, undergo multiple determination steps, cross the basement membrane, intercalate and differentiate into the epidermis.

A series of models were constructed using these covariates, with the optimal model determined by the adjusted coefficient of multiple determination Ra (adjusted R-square) criterion.