Sample-Path Analysis of Queueing Systems: 11 (International Series in Operations Research & Management Science, 11) - Image 1

£113.25

Springer Sample-Path Analysis of Queueing Systems: 11 (International Series in Operations Research & Management Science, 11)

Name: Sample-Path Analysis of Queueing Systems: 11 (International Series in Operations Research & Management Science, 11)
Brand: Springer
Price: 113.25 GBP
Availability: InStock

Decision Making

This is the usual price. Wait for it to drop, or tell us your number.

£113 today · usual range £0–£0 · best ever £104

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 640 days • 640 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 640 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £106 (345 days, 53.9%)

Price range: £104 - £130

Price levels: 6 different prices over 640 days

Description

Sample-Path Analysis of Queueing Systems uses a deterministic (sample-path) approach to analyze stochastic systems, primarily queueing systems and more general input-output systems. Among other topics of interest it deals with establishing fundamental relations between asymptotic frequencies and averages, pathwise stability, and insensitivity. These results are utilized to establish useful performance measures. The intuitive deterministic approach of this book will give researchers, teachers, practitioners, and students better insights into many results in queueing theory. The simplicity and intuitive appeal of the arguments will make these results more accessible, with no sacrifice of mathematical rigor. Recent topics such as pathwise stability are also covered in this context. The book consistently takes the point of view of focusing on one sample path of a stochastic process. Hence, it is devoted to providing pure sample-path arguments. With this approach it is possible to separate the issue of the validity of a relationship from issues of existence of limits and/or construction of stationary framework. Generally, in many cases of interest in queueing theory, relations hold, assuming limits exist, and the proofs are elementary and intuitive. In other cases, proofs of the existence of limits will require the heavy machinery of stochastic processes. The authors feel that sample-path analysis can be best used to provide general results that are independent of stochastic assumptions, complemented by use of probabilistic arguments to carry out a more detailed analysis. This book focuses on the first part of the picture. It does however, provide numerous examples that invoke stochastic assumptions, which typically are presented at the ends of the chapters.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 1461376203
Category: Books > Subjects > Business, Finance & Law > Management > Management Skills > Decision Making
Domain: Amazon UK
Publication Date: 08 October 2012
Listed Since: 06 December 2012

Barcode

No barcode data available

Springer Sample-Path Analysis of Queueing Systems: 11 (International Series in Operations Research & Management Science, 11)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Fundamentals of Queueing Networks: Performance, Asymptotics, and Optimization: 46 (Stochastic Modelling and Applied Probability, 46)

Markov Models and Optimization: 49 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Queueing Systems, Volume 2: Computer Applications

Manufacturing and Service Enterprise with Risks: A Stochastic Management Approach: 125 (International Series in Operations Research & Management Science, 125)

Elements of Queueing Theory: Palm Martingale Calculus and Stochastic Recurrences: 26 (Stochastic Modelling and Applied Probability, 26)

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling

Introduction to Stochastic Level Crossing Techniques

Queueing Theory 2: Advanced Trends

Markov Chains: Theory and Applications (Iste)

A Course on Queueing Models (Statistics: Textbooks and Monographs)

Max-Plus Linear Stochastic Systems and Perturbation Analysis: 15 (The International Series on Discrete Event Dynamic Systems, 15)

Elements of Applied Stochastic Processes: 378 (Wiley Series in Probability and Statistics)

Difference and Differential Equations with Applications in Queueing Theory

Stochastic Analysis and Related Topics: In Honour of Ali Süleyman Üstünel, Paris, June 2010: 22 (Springer Proceedings in Mathematics & Statistics, 22)

Stochastic Dynamic Programming and the Control of Queueing Systems: 505 (Wiley Series in Probability and Statistics)

Stochastic Networks: 2 (Institute of Mathematical Statistics Textbooks, Series Number 2)

On Regenerative Processes in Queueing Theory: 121 (Lecture Notes in Economics and Mathematical Systems, 121)

Stochastic Network Calculus

Modeling and Analysis of Stochastic Systems (Chapman & Hall/CRC Texts in Statistical Science)

Basics of Applied Stochastic Processes (Probability and Its Applications)

Stochastic Processes and Long Range Dependence (Springer Series in Operations Research and Financial Engineering)

Modeling, Stochastic Control, Optimization, and Applications: 164 (The IMA Volumes in Mathematics and its Applications, 164)

Modeling and Analysis of Stochastic Systems (Chapman & Hall/CRC Texts in Statistical Science)

Distributions in Stochastic Network Models