The performance of ground-based surveillance radars strongly depends on the distribution and spectral characteristics of ground clutter. To design signal processing algorithms that exploit the knowledge of clutter characteristics, a preliminary stat
“R Statistical Application Development by Example Beginner’s Guide” explores statistical concepts and the R software, which are well integrated from the word go. This demarcates the separate learning of theory and applications and hence the title be
The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for st
This book is  to be suitable for a graduate-level semester-long course focusing on Statistical NLP. There is actually rather more material than one could hope to cover in a semester, but that rich- ness gives ample room for the teacher to pick and
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that of a network-wide view of the traffic state, called the traffic matrix
Data analysts use R because it’s elegant, versatile, and designed specifically for working with data – it’s so beloved and widely used that it was named one of the top 5 programming languages of 2016! Without requiring any prior experience in progra
Data analysts use R because it’s elegant, versatile, and designed specifically for working with data – it’s so beloved and widely used that it was named one of the top 5 programming languages of 2016! Without requiring any prior experience in progra
