Sentence examples for more complex statistics from inspiring English sources

Simple statistical analyses were performed in Excel 2002 and for more complex statistics the SAS statistical program version 8.2 (SAS, Institute, Cary NC, USA) was used.

The work of Chen, Song, and Xin [32] is an example of a solution that uses more complex statistics for detecting spurious sensing data in cooperative sensing.

While in early days chemical intuition and simple statistics (structure activity relationship – SAR) were leading the drug design process, in later days more complex statistics and visualization tools have become routinely part of quantitative structure activity relationship (QSAR) studies.

The more complex statistics of pairwise local features (denoted as SPLF) [39] can greatly improve the baseline evaluation (11.2,9.3%) by conventional color histogram (denoted as CH) and the BOF model (denoted as BOF) to nearly three times (28.2%), which was the best performance on PFID in 2010.

While this training includes basis statistics, it was felt that further knowledge on more complex statistics is required.

In situations in which the measured diagnostic accuracy is less than 100%, more complex statistics are required to calculate the confidence interval.

This more complex statistical knowledge influenced the students' feelings and confidence with statistics.

Although kappa statistics can be used to analyse concordance in dichotomous results, to interpret the variability in continuous variables more complex statistical modelling was used in the studies.

With a larger dataset, and more complex spatial statistics, it would be easier to determine how graffiti is related to vice and formal surveillance.

By utilizing more complex stimulus statistics that approximate those found in language [11], [12], this experimental paradigm could provide a real-time window into subcortical function during the learning process itself [62], [63].

Landscape analyses with finer categories and better spatial resolution often require extensive field measurements of forest, microclimate and physiographic conditions and more complex spatial statistics that may not be analytically practical for many National Forests to undertake.