Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and...

Get the single resource that defines—and illustrates—the rapidly evolving world of computer and network security. The Microsoft Encyclopedia of Security delivers more than 1000 cross-referenced entries detailing the latest security-related technologies, standards, products, services, and issues—including sources...

This book presents the most recent achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. It spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and other ensemble methods. Besides data...

With the best practices and optimization techniques you’ll learn in this book, you can optimize performance without...