Sentence examples for meaningful statistics of from inspiring English sources

The proposed tool enables teachers to monitor the activities of their own students and see these meaningful statistics of courses and students in a daily routine.

The small sample size of each set, however, implies that meaningful statistics of the uncertainty are difficult to obtain.

For instance, self-optimization of the downtilt angle [6] is a process which may cover at least several days, since the network has to make sure that meaningful statistics on user locations and signal strengths have been collected.

In order to collect enough information to infer meaningful statistics, for this scenario six different datasets were used, for a total of 105 test images.

This highlights the importance of keeping the proportion of ill-defined causes of death in the national mortality statistics at a possible minimum if we want to get meaningful statistics from cause of death data.

The recent experience of educational data collection on a census basis in Orissa through the e-Shishu project suggests that it is feasible to think of a national template of meaningful statistics that could be developed and refreshed regularly.

Time series analysis comprises of methods for analyzing time series data to extract meaningful statistics and other characteristics of the data.Sobu and Wu (2012), Kang et al.

I've complained before about the shortage of meaningful statistics in racing, about the fact that our culture remains romantic and impressionistic, rather than rational and precise.

This poses a challenge in the implementation of the design codes, because the number of soil/rock property data obtained during site investigation is generally too sparse to generate meaningful statistics, rendering proper selection of the characteristic value a very difficult task.

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data [26].

Time series analysis is mainly used to extract meaningful statistics and other characteristics of the data, or in other words, to extract the potentially useful information from time series [3].