Learn IT - Books tags probability

Introduction to Cryptography: Principles and Applications

Springer, 2007

Due to the rapid growth of digital communication and electronic data exchange, information security has become a crucial issue in industry, business, and administration. Modern cryptography provides essential techniques for securing information and protecting data.

In the first part, this book covers the key concepts of cryptography on an...

Flowgraph Models for Multistate Time-to-Event Data (Wiley Series in Probability and Statistics)

John Wiley & Sons, 2004

The main purpose of this book is to present an introduction to flowgraph models for time-to-event data. The focus is on stochastic models for censored time-to-event data with competing risks and recurrent events. The applications are geared to survivalanalysis and reliability. I view flowgraph models as providing a methodology for data...

A Primer for Mathematics Competitions

Oxford University Press, 2009

The importance of mathematics competitions has been widely recognized for three reasons: they help to develop imaginative capacity and thinking skills whose value far transcends mathematics; they constitute the most effective way of discovering and nurturing mathematical talent; and they provide a means to combat the prevalent false image of...

Random Matrix Methods for Wireless Communications

Cambridge University Press, 2011

Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications. The Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents and spectral analysis methods...

$Probability For Dummies (Math & Science)$

Probability For Dummies (Math & Science)

For Dummies, 2006

Packed with practical tips and techniques for solving probability problems

Increase your chances of acing that probability exam — or winning at the casino!

Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out...

Stochastic Approximation and Its Application (Nonconvex Optimization and Its Applications)

Springer, 2002

This book presents the recent development of stochastic approximation algorithms with expanding truncations based on the TS (trajectory-subsequence) method, a newly developed method for convergence analysis. This approach is so powerful that conditions used for guaranteeing convergence have been considerably weakened in comparison with those...

Linear Algebra and Probability for Computer Science Applications

CRC Press, 2012

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

Introduction to Stochastic Integration (Modern Birkhäuser Classics)

Birkhauser, 2013

A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable for the text of a graduate course in stochastic calculus, following a course in probability.

Using the modern approach, the...

Signal Detection And Estimation

Artech House Publishers, 2005

This book provides an overview and introduction to signal detection and estimation. The book contains numerous examples solved in detail. Since some material on signal detection could be very complex and require a lot of background in engineering math, a chapter and various sections to cover such background are included, so that one can easily...

A Course in Probability and Statistics

Cengage Learning, 1995

This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection...

Statistical Analysis of Panel Count Data (Statistics for Biology and Health)

Springer, 2013

Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical...

Theory of Neural Information Processing Systems

Oxford University Press, 2005

Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative discipline, including mathematics, computer science, physics, engineering or biology, and has been...

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