Probability Queueing Theory And Reliability Engineering

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Probability Queueing Theory And Reliability Engineering

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Author : Laxmi Publications
language : en
Publisher: Laxmi Publications
Release Date : 2005

Probability Queueing Theory And Reliability Engineering written by Laxmi Publications and has been published by Laxmi Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Engineering design categories.

Probability And Statistics With Reliability Queuing And Computer Science Applications

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Author : Kishor S. Trivedi
language : en
Publisher: John Wiley & Sons
Release Date : 2016-07-11

Probability And Statistics With Reliability Queuing And Computer Science Applications written by Kishor S. Trivedi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-11 with Computers categories.

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

An Introduction To Queueing Theory

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Author : U. Narayan Bhat
language : en
Publisher: Birkhäuser
Release Date : 2015-07-09

An Introduction To Queueing Theory written by U. Narayan Bhat and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-09 with Mathematics categories.

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. This edition includes additional topics in methodology and applications. Key features: • An introductory chapter including a historical account of the growth of queueing theory in more than 100 years. • A modeling-based approach with emphasis on identification of models • Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics. • A chapter on matrix-analytic method as an alternative to the traditional methods of analysis of queueing systems. • A comprehensive treatment of statistical inference for queueing systems. • Modeling exercises and review exercises when appropriate. The second edition of An Introduction of Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research. "...This book has brought a freshness and novelty as it deals mainly with modeling and analysis in applications as well as with statistical inference for queueing problems. With his 40 years of valuable experience in teaching and high level research in this subject area, Professor Bhat has been able to achieve what he aimed: to make [the work] somewhat different in content and approach from other books." - Assam Statistical Review of the first edition

Stability Analysis Of Regenerative Queueing Models

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Author : Evsey Morozov
language : en
Publisher: Springer Nature
Release Date : 2021-09-20

Stability Analysis Of Regenerative Queueing Models written by Evsey Morozov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-20 with Computers categories.

The stability analysis of stochastic models for telecommunication systems is an intensively studied topic. The analysis is, as a rule, a difficult problem requiring a refined mathematical technique, especially when one endeavors beyond the framework of Markovian models. The primary purpose of this book is to present, in a unified way, research into the stability analysis of a wide variety of regenerative queueing systems. It describes the theoretical foundations of this method, and then shows how it works with particular models, both classic ones as well as more recent models that have received attention. The focus lies on an in-depth and insightful mathematical explanation of the regenerative stability analysis method. The unique volume can serve as a textbook for students working in these and related scientific areas. The material is also of interest to engineers working in telecommunications field, who may be faced with the problem of stability of queueing systems.

Queueing Theory 2

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Author : Vladimir Anisimov
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-27

Queueing Theory 2 written by Vladimir Anisimov and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Mathematics categories.

The aim of this book is to reflect the current cutting-edge thinking and established practices in the investigation of queueing systems and networks. This second volume includes eight chapters written by experts wellknown in their areas. The book conducts a stability analysis of certain types of multiserver regenerative queueing systems; a transient evaluation of Markovian queueing systems, focusing on closed-form distributions and numerical techniques; analysis of queueing models in service sectors using analytical and simulation approaches; plus an investigation of probability distributions in queueing models and their use in economics, industry, demography and environmental studies. This book also considers techniques for the control of information in queueing systems and their impact on strategic customer behavior, social welfare and the revenue of monopolists. In addition, applications of maximum entropy methods of inference for the analysis of a stable M/G/1 queue with heavy tails, and inventory models with positive service time - including perishable items and stock supplied using various algorithmic control policies ((s; S); (r;Q), etc.).

Probability Random Processes And Queueing Theory

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Author : A.M. Natarajan
language : en
Publisher: New Age International
Release Date : 2007

Probability Random Processes And Queueing Theory written by A.M. Natarajan and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Probabilities categories.

The Book Covers The Entire Syllabus Prescribed By Anna University For Be (It, Cse, Ece) Courses Of Tamil Nadu Engineering Colleges. This Book Also Meets The Requirements Of Students Preparing For Various Competitive Examinations. Professionals And Research Workers Can Also Use This Book As A Ready Reference.Main Topics Dealt In Depth Are: Random Variables, Random Processes, Correlation And Regression, Autocorrelation And Power Spectral Density, Testing Hypothesis, Design Of Experiments, Quality Control, Queueing Theory And Reliability Engineering. Each Chapter Concludes With Fairly A Good Number Of Exercises With Answers.

Reliability And Availability Engineering

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Author : Kishor S. Trivedi
language : en
Publisher: Cambridge University Press
Release Date : 2017-08-03

Reliability And Availability Engineering written by Kishor S. Trivedi and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-03 with Computers categories.

Learn about the techniques used for evaluating the reliability and availability of engineered systems with this comprehensive guide.

Engineer S Toolkit Statistics And Probability Essentials

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-10

Engineer S Toolkit Statistics And Probability Essentials written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Technology & Engineering categories.

Delving into the realm of statistics and probability, this comprehensive guide is tailored specifically for engineering students and practicing professionals seeking a deeper understanding of these essential disciplines. With a strong emphasis on real-world applications, this book provides a practical and hands-on approach to mastering the concepts and techniques that are vital for success in engineering. Through a captivating narrative and engaging examples, the book introduces readers to the fundamentals of descriptive statistics, probability theory, and statistical inference. It then delves into advanced topics such as experimental design, statistical quality control, risk and decision analysis, and statistical computing, providing a well-rounded understanding of the subject matter. Key features of this book include: * A focus on real-world applications with numerous examples and exercises to illustrate how statistics and probability are used to solve engineering problems. * Coverage of a wide range of topics, from basic concepts to advanced techniques, to provide a comprehensive understanding of statistics and probability. * Clear and concise explanations with step-by-step instructions to facilitate learning and retention. * Ample opportunities for practice with a variety of problems and exercises to reinforce understanding and develop problem-solving skills. This comprehensive guide is an invaluable resource for engineering students seeking a deeper understanding of statistics and probability, as well as practicing engineers looking to enhance their skills. With its focus on real-world applications and engaging examples, this book provides the knowledge and tools necessary to confidently tackle engineering challenges and make informed decisions. If you like this book, write a review!

The Probabilistic Lens Unveiling The Secrets Of Randomness

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date :

The Probabilistic Lens Unveiling The Secrets Of Randomness written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.

"The Probabilistic Lens: Unveiling the Secrets of Randomness" is a captivating exploration of probability theory, revealing its profound impact on diverse fields, from finance and engineering to data science and the social sciences. Within these pages, renowned probability expert Pasquale De Marco invites you on an intellectual adventure, transforming you from a passive observer of chance into an active participant in the art of probabilistic thinking. Delve into the intricate tapestry of probability theory, where chance and uncertainty are transformed into powerful tools for understanding and predicting the unpredictable. Discover the profound significance of independence and correlation, unveiling the hidden connections that shape our world. Embark on an exploration of stochastic processes, dynamic phenomena that unfold over time, revealing the underlying patterns that drive change and uncertainty. Prepare to be captivated by the elegance of conditional probability and Bayes' Theorem, powerful tools that enable us to reason about uncertain events and make informed decisions in the face of incomplete information. Witness the interplay of random walks and martingales, stochastic processes that capture the essence of randomness and provide insights into complex systems. Explore the realm of limit theorems and convergence, unveiling the remarkable properties that govern the behavior of probability distributions as they evolve over time. Unravel the secrets of extreme value theory, venturing into the realm of rare and extreme events that shape our understanding of risk and uncertainty. Discover the power of copulas and dependence modeling, unveiling the intricate relationships between random variables and their joint behavior. As you delve deeper into the probabilistic lens, you will uncover the profound impact of probability on diverse fields, from finance and engineering to data science and the social sciences. Witness the transformative power of probability in action, as it empowers us to make informed decisions, mitigate risks, and unlock hidden insights from data. "The Probabilistic Lens" is more than just a book; it is an invitation to see the world through the lens of probability, to understand the inherent uncertainty of our world, and to make sense of the seemingly random events that shape our lives. Prepare to be enlightened, empowered, and inspired as you embark on this journey into the heart of probability. If you like this book, write a review!

Foundations Of Probability Theory

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Author : Himadri Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-02-20

Foundations Of Probability Theory written by Himadri Deshpande and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.

"Foundations of Probability Theory" offers a thorough exploration of probability theory's principles, methods, and applications. Designed for students, researchers, and practitioners, this comprehensive guide covers both foundational concepts and advanced topics. We begin with basic probability concepts, including sample spaces, events, probability distributions, and random variables, progressing to advanced topics like conditional probability, Bayes' theorem, and stochastic processes. This approach lays a solid foundation for further exploration. Our book balances theory and application, emphasizing practical applications and real-world examples. We cover topics such as statistical inference, estimation, hypothesis testing, Bayesian inference, Markov chains, Monte Carlo methods, and more. Each topic includes clear explanations, illustrative examples, and exercises to reinforce learning. Whether you're a student building a solid understanding of probability theory, a researcher exploring advanced topics, or a practitioner applying probabilistic methods to solve real-world problems, this book is an invaluable resource. We equip readers with the knowledge and tools necessary to tackle complex problems, make informed decisions, and explore probability theory's rich landscape with confidence.