The phrase "adequacy of statistics" is correct and usable in written English.
It can be used when discussing the sufficiency or appropriateness of statistical data in a particular context, such as research or analysis.
Example: "The adequacy of statistics in this study is crucial for drawing valid conclusions about the population."
Alternatives: "sufficiency of data" or "reliability of statistics".
Apparently, although it is reasonable to adjust accepted parameter values by using the actual distance d(S y obs), S y M [ 4, 13], whether such adjustment improves the approximation to the posterior depends on the specifics of each data set, including the adequacy of the chosen summary statistics.
Two classes of test statistics for duration clustering and one class of test statistics for the adequacy of ACD models are proposed.
Moreover, the degree of effectiveness with which such administrative procedures are implemented also has an impact on the adequacy of these data as international migration statistics [ 17].
During its meetings the JMPR pointed out the need to consider both ethical (particularly the relevant components of the Helsinki Declaration) [ 29] and scientific issues, particularly involving the quality and integrity of the data and the adequacy of the documentation of methods (including statistics and control values) [ 28].
The following statistics assessed the adequacy of the model, indirectly construct validity, as the degree of fit between estimated and observed variance: chi square, Tucker Lewis Index (TLI) (>0.90 acceptable, >0.95 excellent), the Comparative Fit Index (CFI) (>0.90 acceptable, >0.95 excellent), and root mean square error of approximation (RMSEA) (<0.08 acceptable, <0.05 excellent) [ 16- 19].
The adequacy of fit is evaluated using multiple fit statistics and their ideal values are shown at the bottom of summary fit Table 1 [ 39].> Stochastic ordering of items is evaluated through the fit of data to the model.
Third, the threshold of statistical significance was fixed at α = 0.01 (instead of the traditional α = 0.05) in the assessment of the adequacy of the models with the chi-square statistics and the chi-square difference tests.
Collection of statistics.
Uno, H., Cai, T., Pencina, M.J., D'Agostino, R.B. & Wei, L.J. On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.
