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If "permutation" sounds like something you shouldn't say around your grandmother and you read "margin of error" as "margin of terror," take heart! This easy-to-follow...
Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision...
At the heart of any modern communication system is the modem, connecting the data source to the communication channel. This first course in the mathematical theory of modem design introduces the theory of digital modulation and coding that underpins the design of digital telecommunications systems. A detailed treatment of core subjects is...
Scientists in optics are increasingly confronted with problems that are of a random nature and that require a working knowledge of probability and statistics for their solution. This textbook develops these subjects within the context of optics using a problem-solving approach. All methods are explicitly derived and can be traced back to three...
Employ heuristic adjustments for truly accurate analysis
Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical...
Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice...
This textbook is intended for an undergraduate/graduate course on computer networks and for introductory courses dealing with performance evaluation of computers, networks, grids and telecommunication systems. Unlike other books on the subject, this text presents a balanced approach between technology and mathematical modeling. It covers networking...
Since its discovery almost 200 years ago, least squares has been the most popular method of regression analysis. A statistics book with the word "regression" in its title, without any qualifying adjective such as "robust" or "nonparametric" or "alternative", can be assumed to be about least-squares...
In this book, the authors present current research in the study of the practices, perspectives and challenges of pattern recognition. Topics include the practical usage of algorithmic probability in pattern recognition; application of pattern recognition in optimization-simulation techniques; pattern recognition applied to spectroscopy;...
Network monitoring serves as basis for a wide scope of network operations, engineering
and management. Precise network monitoring involves inspecting every
packet traversing in a network. However, this is infeasible in today’s and future
high-speed networks, due to significant overheads of processing, storing, and transferring...
Since the 1970's, there has been a great deal of research effort spent on studying chaotic systems and the properties of the chaotic signals generated. Characterized by their wideband, impulse-like autocorrelation and low cross-correlation properties, chaotic signals are useful spread-spectrum signals for carrying digital information. Spectrum...
"Quantum Computing without Magic gives a refreshing and down to earth approach to quantum information as well as quantum devices which will have a fundamental impact on the technology of the 21st century." —Raymond Laflamme, Canada Research Chair in Quantum Information, and Director, Institute for...
