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Search "Introduction to Probability and Stochastic Processes with Applications - DUPLICATE" returned 166 results.

PRODUCT TITLE

Introduction to Probability and Stochastic Processes with Applications

An easily accessible, real-world approach to probability and stochastic processes Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment...

July 2012

Encyclopedia of Financial Models. Encyclopedia of Financial Models V3. Volume 3

VOLUME III The need for serious coverage of financial modeling has never been greater, especially with the size, diversity, and efficiency of modern capital markets. With this in mind, the Encyclopedia...

November 2012

An Introduction to Stochastic Modeling. Edition No. 4

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, 4e, bridges the...

January 2011

Probability, Statistics, and Stochastic Processes. 2nd Edition

Praise for the First Edition ". . . an excellent textbook . . . well organized and neatly written." —Mathematical Reviews ". . . amazingly interesting . . ." —Technometrics Thoroughly updated...

June 2012

Bayesian Analysis of Stochastic Process Models. Wiley Series in Probability and Statistics

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic...

March 2012

Mathematical Statistics and Stochastic Processes. ISTE

Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables,...

April 2012

Mathematics for Neuroscientists

Virtually all scientific problems in neuroscience require mathematical analysis, and all neuroscientists are increasingly required to have a significant understanding of mathematical methods. There...

September 2010

Fundamentals of Stochastic Networks

An interdisciplinary approach to understanding queueing and graphical networks In today's era of interdisciplinary studies and research activities, network models are becoming increasingly important...

November 2011
A Modern Theory of Random Variation. With Applications in Stochastic Calculus, Financial Mathematics, and Feynman Integration A Modern Theory of Random Variation. With Applications in Stochastic Calculus, Financial Mathematics, and Feynman Integration - Product Thumbnail Image

A Modern Theory of Random Variation. With Applications in Stochastic Calculus, Financial Mathematics, and Feynman Integration

A ground-breaking and practical treatment of probability and stochastic processes A Modern Theory of Random Variation is a new and radical re-formulation of the mathematical underpinnings of subjects...

November 2012

A Modern Theory of Random Variation. With Applications in Stochastic Calculus, Financial Mathematics, and Feynman Integration

A ground-breaking and practical treatment of probability and stochastic processes A Modern Theory of Random Variation is a new and radical re-formulation of the mathematical underpinnings of subjects...

November 2012
Introduction to Probability Models. Edition No. 11 Introduction to Probability Models. Edition No. 11 - Product Thumbnail Image

Introduction to Probability Models. Edition No. 11

Sheldon Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It...

March 2014

Difference and Differential Equations with Applications in Queueing Theory

company website A Useful Guide to the Interrelated Areas of Differential Equations, Difference Equations, and Queueing Models Difference and Differential Equations with Applications in Queueing...

August 2013

Introduction to Stochastic Analysis. Integrals and Differential Equations. ISTE

This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide audience, from students of mathematics to practitioners in biology,...

July 2011

Statistical Thermodynamics and Stochastic Kinetics. An Introduction for Engineers

Presenting the key principles of thermodynamics from a microscopic point of view, this book provides engineers with the knowledge they need to apply thermodynamics and solve engineering challenges at...

December 2011

Stochastic Geometry and Its Applications. 3rd Edition. Wiley Series in Probability and Statistics

An extensive update to a classic text Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials sciences, engineering, biology and environmental...

August 2013

Stochastic Modeling and Analysis of Telecoms Networks. ISTE

This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic...

March 2012

Applied Diffusion Processes from Engineering to Finance. ISTE

The aim of this book is to promote interaction between engineering, finance and insurance, as these three domains have many models and methods of solution in common for solving real-life problems. The...

March 2013

A First Course in Probability and Markov Chains

Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to...

December 2012

The Mathematics of Derivatives Securities with Applications in MATLAB. The Wiley Finance Series

Quantitative Finance is expanding rapidly. One of the aspects of the recent financial crisis is that, given the complexity of financial products, the demand for people with high numeracy skills is likely...

February 2012

Elements of Random Walk and Diffusion Processes. Wiley Series in Operations Research and Management Science

Presents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in understanding discrete-state discrete-time processes...

November 2013
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