Sentence examples for Statistical gauge from inspiring English sources

Exact(1)

First, MAS5 does not provide the user with a statistical gauge of the basic claim behind the Present/Absent call.

Similar(59)

He invoked a host of statistical gauges - tracking such things as the rate of change of the volume of advancing and declining issues on the New York Stock Exchange - and the selling began as his message spread.

His study then used advanced statistical analysis to gauge their relative importance.

Using statistical methods to gauge income inequality, the team found a steep rise in the rate of child maltreatment with rising inequality.

Mr. Elop said Nokia was looking at "trajectories, the number of contracts and customer trends," among other statistical bellwethers, to gauge the prospects for Nokia Siemens.

"I don't want to push this too hard," said Mr. Fair, 68, a veteran marathoner who has also used statistical techniques to gauge the effects of aging on runners.

Using an array of catch and fish life-cycle data, they have devised a new statistical method to gauge the health of fish stocks, and applied it to over 7,000 fisheries.

We used mixed-effects statistical models to gauge the relative influences of environmental and subject-specific factors on benzene exposure and breath levels and to investigate the importance of various covariates obtained by questionnaire.

We compared baseline and exit proportions of expressed interest for each of the options mentioned above, using a population proportion test to gauge statistical significance (the population proportion test is a normal approximation of a binomial distribution).

Using a statistical measure that gauges how widely subjects were scattered across the political spectrum, the researchers reckoned that for each tick rightward, the average subject grew 2% less skeptical of statements when they warned of bad outcomes than when they promised good ones.

The performance of individual statistical models was gauged by their overall R values (corresponding to variance explained by factors in the model), while the impact of individual factors was measured by the regression beta (adjusted mean beta difference, Δ β, and standard error, SE).

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