Probability And Statistics With Reliability Queuing And Computer Science Applications

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

Author : Kishor S. Trivedi
Publisher : John Wiley & Sons
Page : 880 pages
File Size : 51,8 Mb
Release : 2016-06-30
Category : Computers
ISBN : 9781119314202

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications by Kishor S. Trivedi Pdf

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.

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

Author : Kishor S. Trivedi
Publisher : John Wiley & Sons
Page : 851 pages
File Size : 43,8 Mb
Release : 2001-11-28
Category : Computers
ISBN : 9780471333418

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications by Kishor S. Trivedi Pdf

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.

PROBABILITY AND STATISTICS WITH RELIABILITY, QUEUING, AND COMPUTER SCIENCE APPLICATIONS

Author : KISHOR SHRIDHARBHAI TRIVEDI
Publisher : PHI Learning Pvt. Ltd.
Page : 646 pages
File Size : 49,7 Mb
Release : 1988-01-01
Category : Mathematics
ISBN : 8120305086

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PROBABILITY AND STATISTICS WITH RELIABILITY, QUEUING, AND COMPUTER SCIENCE APPLICATIONS by KISHOR SHRIDHARBHAI TRIVEDI Pdf

This book provides an introduction to probability, stochastic processes, and statistics for students of computer science, electrical/computer engineering, reliability engineering and applied mathematics. It prepares the student for solving practical stochastic modelling problems, and for the more advanced courses on queuing or reliability theory. The text emphasizes on applications, illustrating each theoretical concept by solved examples relating to algorithm analysis or communication related problems.The prerequisites are a knowledge of calculus, a course on introduction to computer programming, and an understanding of computer organization. The book is also suitable for self-study by computer professionals and mathematicians interested in applications.

Probability & Statistics With Reliability, Queuing And Computer Science Applications, 2Nd Ed

Author : Kishor S. Trivedi
Publisher : John Wiley & Sons
Page : 852 pages
File Size : 48,9 Mb
Release : 2008-10-15
Category : Electronic
ISBN : 8126518537

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Probability & Statistics With Reliability, Queuing And Computer Science Applications, 2Nd Ed by Kishor S. Trivedi Pdf

This book is important to our developing list of computer science titles. Trivedi's book is a true classic and will be well received in the market. The subject lies at the core of many applications in computer science, signal processing, and communications. · Introduction· Discrete Random Variables· Continuous Random Variables· Expectation· Conditional Distribution and Expectation· Stochastic Processes· Discrete-Time Markov Chains· Continuous-Time Markov Chains· Networks of Queues· Statistical Inference · Regression and Analysis of Variance

Reliability and Availability Engineering

Author : Kishor S. Trivedi,Andrea Bobbio
Publisher : Cambridge University Press
Page : 729 pages
File Size : 46,6 Mb
Release : 2017-08-03
Category : Computers
ISBN : 9781107099500

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Reliability and Availability Engineering by Kishor S. Trivedi,Andrea Bobbio Pdf

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

Queueing Networks and Markov Chains

Author : Gunter Bolch,Stefan Greiner,Hermann de Meer,Kishor S. Trivedi
Publisher : John Wiley & Sons
Page : 901 pages
File Size : 41,7 Mb
Release : 2006-04-14
Category : Technology & Engineering
ISBN : 9780471565253

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Queueing Networks and Markov Chains by Gunter Bolch,Stefan Greiner,Hermann de Meer,Kishor S. Trivedi Pdf

Critically acclaimed text for computer performance analysis--now in its second edition The Second Edition of this now-classic text provides a current and thorough treatment of queueing systems, queueing networks, continuous and discrete-time Markov chains, and simulation. Thoroughly updated with new content, as well as new problems and worked examples, the text offers readers both the theory and practical guidance needed to conduct performance and reliability evaluations of computer, communication, and manufacturing systems. Starting with basic probability theory, the text sets the foundation for the more complicated topics of queueing networks and Markov chains, using applications and examples to illustrate key points. Designed to engage the reader and build practical performance analysis skills, the text features a wealth of problems that mirror actual industry challenges. New features of the Second Edition include: * Chapter examining simulation methods and applications * Performance analysis applications for wireless, Internet, J2EE, and Kanban systems * Latest material on non-Markovian and fluid stochastic Petri nets, as well as solution techniques for Markov regenerative processes * Updated discussions of new and popular performance analysis tools, including ns-2 and OPNET * New and current real-world examples, including DiffServ routers in the Internet and cellular mobile networks With the rapidly growing complexity of computer and communication systems, the need for this text, which expertly mixes theory and practice, is tremendous. Graduate and advanced undergraduate students in computer science will find the extensive use of examples and problems to be vital in mastering both the basics and the fine points of the field, while industry professionals will find the text essential for developing systems that comply with industry standards and regulations.

Probability and Statistics for Computer Scientists

Author : Michael Baron
Publisher : CRC Press
Page : 475 pages
File Size : 52,7 Mb
Release : 2013-08-05
Category : Mathematics
ISBN : 9781498760607

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Probability and Statistics for Computer Scientists by Michael Baron Pdf

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make o

Introduction to Probability and Statistics for Science, Engineering, and Finance

Author : Walter A. Rosenkrantz
Publisher : CRC Press
Page : 680 pages
File Size : 49,5 Mb
Release : 2008-07-10
Category : Mathematics
ISBN : 9781584888130

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Introduction to Probability and Statistics for Science, Engineering, and Finance by Walter A. Rosenkrantz Pdf

Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create

Statistics and Probability for Engineering Applications

Author : William DeCoursey
Publisher : Elsevier
Page : 396 pages
File Size : 55,7 Mb
Release : 2003-05-14
Category : Mathematics
ISBN : 9780080489759

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Statistics and Probability for Engineering Applications by William DeCoursey Pdf

Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory

Probability, Statistics, and Queueing Theory

Author : Arnold O. Allen
Publisher : Academic Press
Page : 408 pages
File Size : 41,9 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483266596

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Probability, Statistics, and Queueing Theory by Arnold O. Allen Pdf

Probability, Statistics, and Queueing Theory: With Computer Science Applications focuses on the use of statistics and queueing theory for the design and analysis of data communication systems, emphasizing how the theorems and theory can be used to solve practical computer science problems. This book is divided into three parts. The first part discusses the basic concept of probability, probability distributions commonly used in applied probability, and important concept of a stochastic process. Part II covers the discipline of queueing theory, while Part III deals with statistical inference. This publication is designed as a junior-senior level textbook on applied probability and statistics with computer science applications, but is also a self-study book for practicing computer science (data processing) professionals.

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

Author : Kishor S. Trivedi
Publisher : John Wiley & Sons
Page : 880 pages
File Size : 40,6 Mb
Release : 2016-07-11
Category : Computers
ISBN : 9780471460817

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications by Kishor S. Trivedi Pdf

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.

Probability with R

Author : Jane M. Horgan
Publisher : John Wiley & Sons
Page : 522 pages
File Size : 51,8 Mb
Release : 2019-12-18
Category : Mathematics
ISBN : 9781119536987

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Probability with R by Jane M. Horgan Pdf

Provides a comprehensive introduction to probability with an emphasis on computing-related applications This self-contained new and extended edition outlines a first course in probability applied to computer-related disciplines. As in the first edition, experimentation and simulation are favoured over mathematical proofs. The freely down-loadable statistical programming language R is used throughout the text, not only as a tool for calculation and data analysis, but also to illustrate concepts of probability and to simulate distributions. The examples in Probability with R: An Introduction with Computer Science Applications, Second Edition cover a wide range of computer science applications, including: testing program performance; measuring response time and CPU time; estimating the reliability of components and systems; evaluating algorithms and queuing systems. Chapters cover: The R language; summarizing statistical data; graphical displays; the fundamentals of probability; reliability; discrete and continuous distributions; and more. This second edition includes: improved R code throughout the text, as well as new procedures, packages and interfaces; updated and additional examples, exercises and projects covering recent developments of computing; an introduction to bivariate discrete distributions together with the R functions used to handle large matrices of conditional probabilities, which are often needed in machine translation; an introduction to linear regression with particular emphasis on its application to machine learning using testing and training data; a new section on spam filtering using Bayes theorem to develop the filters; an extended range of Poisson applications such as network failures, website hits, virus attacks and accessing the cloud; use of new allocation functions in R to deal with hash table collision, server overload and the general allocation problem. The book is supplemented with a Wiley Book Companion Site featuring data and solutions to exercises within the book. Primarily addressed to students of computer science and related areas, Probability with R: An Introduction with Computer Science Applications, Second Edition is also an excellent text for students of engineering and the general sciences. Computing professionals who need to understand the relevance of probability in their areas of practice will find it useful.

An Introduction to Queueing Theory

Author : U. Narayan Bhat
Publisher : Birkhäuser
Page : 339 pages
File Size : 50,5 Mb
Release : 2015-07-09
Category : Mathematics
ISBN : 9780817684211

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An Introduction to Queueing Theory by U. Narayan Bhat Pdf

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

Practical Statistics for Data Scientists

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 49,7 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Systems Modeling: Methodologies and Tools

Author : Antonio Puliafito,Kishor S. Trivedi
Publisher : Springer
Page : 315 pages
File Size : 41,9 Mb
Release : 2018-10-16
Category : Technology & Engineering
ISBN : 9783319923789

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Systems Modeling: Methodologies and Tools by Antonio Puliafito,Kishor S. Trivedi Pdf

This book covers ideas, methods, algorithms, and tools for the in-depth study of the performance and reliability of dependable fault-tolerant systems. The chapters identify the current challenges that designers and practitioners must confront to ensure the reliability, availability, and performance of systems, with special focus on their dynamic behaviors and dependencies. Topics include network calculus, workload and scheduling; simulation, sensitivity analysis and applications; queuing networks analysis; clouds, federations and big data; and tools. This collection of recent research exposes system researchers, performance analysts, and practitioners to a spectrum of issues so that they can address these challenges in their work.