Sentence examples for adequacy test from inspiring English sources

The phrase "adequacy test" is correct and usable in written English.
It can be used in contexts related to evaluating the sufficiency or effectiveness of something, such as a method, model, or system.
Example: "Before we proceed with the implementation, we need to conduct an adequacy test to ensure that our approach meets the required standards."
Alternatives: "sufficiency assessment" or "effectiveness evaluation".

Exact(16)

Our tests of the necessary assumptions to the application of PCA were successful: KMO = 0.77 (i.e., measure of sampling adequacy test) and Bartlett's Test of Sphericity was significant (p <.001) (i.e., the test of significance of correlation between variables).

The factorability of the data was then assessed utilizing Kaiser-Meyer-Olkin Measure of Sampling Adequacy test (KMO) and Barlett's Test of Sphericity.

We propose a new adequacy test and a graphical evaluation tool for nonlinear dynamic models.

We validate our results by applying a statistical adequacy test to the emulator.

The accuracy of the equation has been verified by Fisher's adequacy test.

The procedure consists of a new design criterion and a model adequacy test based on statistical principles.

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Similar(44)

Before factor construction of the scale could be observed, the KMO measure of sampling adequacy tests and Bartlett's Test of Sphericity were calculated.

In other cases, Prudential said it reinsured obligations through a captive entity in Arizona, Pruco Re, whose reserves were "subject to asset adequacy testing by our actuaries".

The theory of acceptance sets and their associated risk measures plays a key role in the design of capital adequacy tests.

In this case, responses can be predicted with model m at ξ⁎, parameters of the remaining models can be re-estimated and model adequacy tests can be performed in order to compute the number of discriminated models.

The Kaiser-Meyer-Olkin measure of sampling adequacy tests whether the partial correlations among variables are small.

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