A Bridge to Advanced Statistical Techniques

Statistical Damage Identification Techniques Applied to the I-40 Bridge over the Rio Grande River

The statistical significance of vibration-based damage identification parameters is studied via application to the data from the tests performed on the Interstate 40 highway bridge in Albuquerque, New Mexico. A test of statistical significance is applied to the mean and confidence interval estimates of the modal properties and the corresponding damage indicators. The damage indicator used in th...

Bridge Rehabilitation Techniques

A statistical approach to classify Skype traffic

Abstract- Skype is one of the most powerful and high-quality chat tools that allows its users to use of many services such as: transferring audio, sending messages, video conferencing and audio for free. Skype traffic has a lot of Internet traffic. Hence, Internet service providers need to identify traffic to do the quality of service and network management. On the other hand, Skype developers ...

Application of statistical techniques and artificial neural network to estimate force from sEMG signals

This paper presents an application of design of experiments techniques to determine the optimized parameters of artificial neural network (ANN), which are used to estimate force from Electromyogram (sEMG) signals. The accuracy of ANN model is highly dependent on the network parameters settings. There are plenty of algorithms that are used to obtain the optimal ANN setting. However, to the best ...

Statistical techniques

sample standard deviation, is the square root of sample variance. • R book, page 50: The th quantile is at position in the sorted data. If this is not an integer, a weighted average is used. For example, as the median is the 0.5 quantile, if is even, the position is a fraction, and hence an average is used as shown above in the definition of median. The th quantile splits the dataset so that 10...