Sentence examples for a large number of statistical from inspiring English sources

There exists a large number of statistical models for describing the statistics of the received radio signal.

Second, because a large number of statistical tests were conducted, some statistically significant results could have been nothing more than the play of chance.

Second, the data analyses involved a large number of statistical tests; therefore, some of the individual statistically significant findings may have occurred by chance.

This can lead to a large number of statistical tests being carried out and an increased risk of statistically significant findings occurring by chance in the absence of adjustment of P-values.

Sixth, because a large number of statistical tests were conducted and no adjustments were made for such, some statistically significant findings could have been nothing more than the play of chance.

Although a large number of statistical methods have been designed for DDoS attack detection, real-time statistical solution to detect DDoS attacks in hardware is only a few.

After an overall analysis had failed to reject the null hypothesis, the investigators perform a large number of new statistical tests on the data.

A large number of different statistical issues arise in the development and analysis of farmworker pesticide exposures and resulting data.

A large number of diverse statistical methods for detecting DIF have been described in the literature [ 33- 38].

It is now technically easy to perform a large number of sophisticated statistical model fittings across a large number of models and/or variables to identify associations of potential scientific interest from a single set of data.

The first strategy was to use general least squares linear modeling (GLM) relying on the central-limit theorem (i.e., where one has a large dataset with a large number of cases, statistical inferences can be made based on the approximate normality of the regression estimates even when raw data and residuals are non-normal).