Sentence examples for uncertainty test from inspiring English sources

More stable and robust models were achieved by the variable selection method, known as Martens' uncertainty test [ 43].

Through cross validation, using the uncertainty test with the optimal number of factors, a set of the most significant predictor variables was selected.

He was more likely to criticise a piece of science for underestimating its own level of uncertainty than for coming to a conclusion he disagreed with.In his mid-50s he found his ideas about how to make weighty decisions in uncertainty tested in a more personal way.

Yet even if that transpires something most bookmakers do not expect its formation will be attended by great uncertainty, testing the basic logic of electoral reward, and in turn increasing the disaffection most Britons feel with politics.Every general election in modern times has been won by the party most trusted with the economy or on the matter of leadership.

For comparison, uncertainty testing on regression coefficients was performed.

The third area of uncertainty tested the effect of using imputed data rather than complete cases; the third sensitivity analysis used trial data with missing values imputed.

We asked questions during the data gathering and analysis that allowed us to clarify uncertainties, test our interpretations and build the emerging theory (33).

The results of this study will inform clinicians of which tests, or combination of tests, successfully reduce diagnostic uncertainty, which tests are misleading and how physical examination may affect the magnitude of the confidence the clinician feels about their diagnosis.

Mastering the relationship between identification uncertainty and test configuration is of great interest to both scientists and engineers, e.g., for achievable precision limits and test planning/budgeting.

An accurate estimate of the required sample size is complicated by uncertainty about test sensitivity and the underlying infection dynamics of scrapie.

Based on SPSA, Li and reynolds (2011) proposed a stochastic Gaussian search discretion algorithm for history matching problems, and this modified method was successfully used in the well-known PUNQ-S3 (Production forecasting with uncertainty quantification) test case.