Learn IT - Books tags stochastic

Loop-shaping Robust Control (Automation-Control and Industrial Engineering Series)

John Wiley & Sons, 2013

The loop-shaping approach consists of obtaining a specification in relation to the open loop of the control from specifications regarding various closed loop transfers, because it is easier to work on a single transfer (in addition to the open loop) than on a multitude of transfers (various loopings such as set point/error, disturbance/error,...

Option Pricing Models and Volatility Using Excel-VBA (Wiley Finance)

John Wiley & Sons, 2007

T his book constitutes a guide for implementing advanced option pricing models and volatility in Excel/VBA. It can be used by MBA students specializing in finance and risk management, by practitioners, and by undergraduate students in their final year. Emphasis has been placed on implementing the models in VBA, rather than on the theoretical...

Pattern Classification (2nd Edition)

John Wiley & Sons, 2000

"The first edition of this book, published 30 years ago by Duda and Hart, has been a defining book for the field of Pattern Recognition. Stork has done a superb job of updating the book. He has undertaken a monumental task of sifting through 30 years of material in a rapidly growing field and presented another snapshot of the field,...

An Introduction to Fronts in Random Media (Surveys and Tutorials in the Applied Mathematical Sciences)

Springer, 2009

The aim of this book is to give a user friendly tutorial of an interdisciplinary research topic (fronts in random media) to senior undergraduates and beginning graduate students with basic knowledge of partial differential equations (PDE) and probability. The approach taken is semi-formal, using elementary methods to introduce ideas and motivate...

Stochastic Approximation and Recursive Algorithms and Applications (Stochastic Modelling and Applied Probability) (v. 35)

Apress, 2003

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. This second edition is a thorough revision, although the main features and structure remain unchanged. It contains many additional applications and results as...

Computational Intelligence In Software Quality Assurance (Series in Machine Perception & Artifical Intelligence)

World Scientific Publishing, 2005

Software systems are at once the most complex and the least reliable technological systems human beings construct. A large software system can have over lo2' states, and the reliability of software is infamously poor. Software engineers must usually make assertions about the reliability of software systems after having observed only an...

Mobile Fading Channels: Modelling, Analysis, & Simulation

John Wiley & Sons, 2002

All relevant components of a mobile radio system, from digital modulation techniques over channel coding through to network aspects, are determined by the propagation characteristics of the channel. Therefore, a precise knowledge of mobile radio channels is crucial for the development, evaluation and test of current and future mobile radio...

Fundamentals of Applied Probability and Random Processes

Academic Press, 2005

"Each chapter is broken down into small subunits, making this a useful reference book as well as a textbook. The material is presented clearly, and solved problems are included in the text." --MAA Reviews

Provides aspiring engineers with a solid introduction to probability theory and stochastic processes

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WLAN Positioning Systems: Principles and Applications in Location-Based Services

Cambridge University Press, 2012

Describing the relevant detection and estimation theory, this detailed guide provides the background knowledge needed to tackle the design of practical WLAN positioning systems. It sets out key system-level challenges and design considerations in increasing positioning accuracy and reducing computational complexity, and it also examines...

Stochastic Optimal Control and the U.S. Financial Debt Crisis

Springer, 2012

Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting debt crises and evaluating proposed financial regulation and risk...

GPS Stochastic Modelling: Signal Quality Measures and ARMA Processes (Springer Theses)

Springer, 2013

Global Navigation Satellite Systems (GNSS), such as GPS, have become an efficient, reliable and standard tool for a wide range of applications. However, when processing GNSS data, the stochastic model characterising the precision of observations and the correlations between them is usually simplified and incomplete, leading to overly...

Mathematical Models for Systems Reliability

CRC Press, 2008

Evolved from the lectures of a recognized pioneer in developing the theory of reliability, Mathematical Models for Systems Reliability provides a rigorous treatment of the required probability background for understanding reliability theory.

This classroom-tested text begins by discussing the Poisson process and its associated...

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