Sentence examples for mean square approximation from inspiring English sources

Root mean square approximation.

Finally, within parsimony adjustment indices, the errors of the root mean square approximation (RMSEA) whose values < 0.08 are good to accept the model [38] were also calculated.

In addition to a nonsignificant chi square (χ2), allowing a rejection of the null hypothesis (i.e. an unacceptable representation of the data), a good-fitting model was considered to have a comparative fit index (CFI) ≥0.95 and a root mean square approximation of variance (RMSEA) significantly smaller than 0.05 [61], [61].

In this article, we propose a method to construct a generalized iso-surface equation (GIE), which is based on vector-map reasoning and least-mean-square approximation.

The overall model showed a good fit (comparative fit index = 0.91, root mean square of approximation = 0.09, and standardized root mean square residual = 0.05).

After these three items were deleted, the findings support a two-factor solution (Comparative Fit Index = 0.98, Standardized Root Mean Square Residual = 0.033, and Root Mean Square of Approximation = 0.094).

The Root Mean Square of Approximation (RSMEA) should not exceed 0.10 [ 24].

The difference in overall fit however was small (Root Mean Square Error Approximation 0.021 and 0.022 respectively).

Model fit was assessed using several approaches, including the chi-square test, comparative fit index (CFI), Tucker-Lewis index (TLI), and root mean square error approximation (RMSEA).

Root mean square error approximation [ 25] was 0.03 with 90% confidence interval upper bound of 0.06, which is considered a good fit.

To assess the fit of model to our data adequately, we computed Goodness-of-Fit Index (GFI), Comparative Fit Index (CFI), and Root Mean Square of Approximation (RMSEA).