Sentences with phrase «error testing approach»

Not exact matches

While other research groups are also working on this problem, the advantages of the NIST approach include a low error rate in initial tests and that it is relatively easy to explain to a jury.

In the conventional approach to measuring IQ, a person is given a standardized test, such as the Wechsler Adult Intelligence Scale, and their score on the test is assumed to reflect their level of intelligence (with some amount of random error).

Our work outlines a basis for using various miscibility tests and future simulation methods that will significantly reduce or eliminate trial - and - error approaches to material synthesis and device fabrication of functional semiconducting blends and organic blends in general.

Children are typically treated with a trial - and - error approach using medication with serious side effects that haven't been adequately tested in children.

Many different lab tests, stringent dietary strategies (managing SIBO often requires a diet that restricts most everything but meats and a limited variety vegetables), and treatment protocols exist to treat SIBO, and sometimes it's a matter of trial and error to land on an approach that works.

We analyzed data using the LISREL 8.80 analysis of covariance structure approach to path analysis and maximum likelihood estimates.42 We used four goodness - of - fit statistics to assess the fit of our path model with the data: the Root Mean Square Error of Approximation test (RMSEA), the Norm - fit index (NFI), the adjusted Goodness of Fit index (GFI) and the mean Root Mean Square Residual (RMR).

I tested dozens of different approaches and after months of trial and error I finally mastered the process down to a science.

When it is not easy or financially difficult to pursue definitive diagnostic testing it is OK to use «trial and error» approaches to this problem but that often means lots of two and three week trials of medications or hypoallergenic diets and coping with the diarrhea for a while.

it is important to recognize that an inherent difficulty of testing null hypotheses is that one can not confirm (statistically) the hypothesis of no effect.While robustness checks (reported in the appendix), as well as p values that never approach standard levels of statistical significance, provide some confidence that the results do not depend on model specification or overly strict requirements for statistical significance, one can not entirely dismiss the possibility of a Type II error.

The authors recommend a trial & error approach of model testing and revisions in order both to fine - tune new biodiversity models and to reveal what type of data is of particular importance to improve outcomes.

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Fit indices used to evaluate the model included a χ2 goodness - of - fit test (nonsignificant values indicate good fits), the comparative fit index (scores of > 0.95 indicate better fits), the root mean square error of approximation (values of < 0.05 indicate good fits), and the standardized root mean square residual (values of < 0.08 indicate good fits).43, 44 Missing values were imputed through multiple imputation by using functions in the missing data library in S - Plus (Insightful Corp, Seattle, WA).45, 46 The combined data for the cross - lagged / survival model converged more quickly with 15 imputed data sets than did the model that used a likelihood - based approach to missing data.