Bioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. Major research efforts in the field include sequence analysis, gene finding, genome annotation,...
One of the most enticing aspects of mathematics, we have found, is the interplay of
ideas from seemingly disparate disciplines of the subject. Linear algebra provides
a beautiful illustration of this, in that it is by nature both algebraic and geometric.
...
This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils...
"Counterterrorism is an important research area for national security and defense, and an area where statisticians can provide insights and tools to improve the standard practice. As funding and governmental interest in these areas continues to grow, this book will provide a stepping stone for those interested in this emerging area of...
R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R...
Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role of computational analysis is relatively small. The power demonstrated individually by these approaches to knowledge discovery suggests that somehow uniting the two could lead to increased efficiency and more...
This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, Probability and Statistics for Engineering and the Sciences evidences Jay Devore's reputation as an outstanding author and leader in the...
âAmong the symmetrical distributions with an infinite domain, the most popular alternative to the normal variant is the logistic distribution as well as the Laplace or the double exponential distribution, which was first introduced in 1774. Occasionally, the Cauchy distribution is also used. Surprisingly, the hyperbolic secant...
Clustering is a fundamental problem that has numerous applications in many disciplines. Clustering techniques are used to discover natural groups in datasets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. They have been used in various areas including...
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.
The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of...
