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Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition, Bilal M. Ayyub

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Автор: Bilal M. Ayyub
Название:  Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition   (Аюб Билал: Вероятность, статистика и надежность для инженеров и ученых)
Издательство: Taylor&Francis
Классификация:
Вероятность и статистика

ISBN: 1439809518
ISBN-13(EAN): 9781439809518
ISBN: 1-439-80951-8
ISBN-13(EAN): 978-1-439-80951-8
Обложка/Формат: Hardback
Страницы: 674
Вес: 1.308 кг.
Дата издания: 20.04.2011
Язык: ENG
Издание: 3 rev ed
Иллюстрации: 226 black & white illustrations, 164 black & white tables
Размер: 261 x 186 x 35
Читательская аудитория: Postgraduate, research & scholarly
Рейтинг:
Поставляется из: Англии
Описание:

In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.

Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making.

The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods.

Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.
Дополнительное описание:




Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 6544 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Probability and Statistics for Computer Scientists

Автор: Baron, Michael
Название: Probability and Statistics for Computer Scientists
ISBN: 1584886412 ISBN-13(EAN): 9781584886419
Издательство: Taylor&Francis
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Цена: 4179 р.
Наличие на складе: Поставка под заказ.

Описание: Presents the elementary rules of probability and distributions, stochastic processes, and Markov chains. This work introduces tools used in queuing theory, including discrete-time and continuous-time queuing systems, and also covers such topics as statistical interference, estimation and testing, regression, and model fitting.

Intro To Probability And Statistics For Engineers & Sciences 3E

Автор: Ross
Название: Intro To Probability And Statistics For Engineers & Sciences 3E
ISBN: 0125980574 ISBN-13(EAN): 9780125980579
Издательство: Elsevier Science
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Цена: 2595 р.
Наличие на складе: Невозможна поставка.

Описание: Provides an introduction to applied probability and statistics for engineering or science majors. This book shows how probability yields insight into statistical problems, resulting in an understanding of the statistical procedures most often used by practicing engineers and scientists.

Introduction To Probability And Statistics For Engineers And Scie

Автор: Ross
Название: Introduction To Probability And Statistics For Engineers And Scie
ISBN: 0125984723 ISBN-13(EAN): 9780125984720
Издательство: Elsevier Science
Цена: 8691 р.
Наличие на складе: Невозможна поставка.

Introduction to Probability and Statistics for Engineers and Scie

Автор: Sheldon M. Ross
Название: Introduction to Probability and Statistics for Engineers and Scie
ISBN: 0123704839 ISBN-13(EAN): 9780123704832
Издательство: Elsevier Science
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Цена: 5699 р.
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Описание: Provides an introduction to applied probability and statistics for engineering or science majors. This book emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists.

Statistics and Probability with Applications for Engineers a

Автор: Gupta Bhisham C
Название: Statistics and Probability with Applications for Engineers a
ISBN: 1118464044 ISBN-13(EAN): 9781118464045
Издательство: Wiley
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Цена: 11495 р.
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Описание: This introductory text helps readers with no prior exposure to probability and statistics become proficient in various statistical techniques. Focusing on both descriptive and inferential statistics, the book begins with descriptive statistics before introducing the fundamentals of probability theory underlying many of the techniques.

Introduction to Probability and Statistics for Engineers and Scie

Автор: Sheldon M. Ross
Название: Introduction to Probability and Statistics for Engineers and Scie
ISBN: 0123948118 ISBN-13(EAN): 9780123948113
Издательство: Elsevier Science
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Цена: 7279 р. 8088.00 -10%
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Описание: Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in the manner in which probability yields insight into statistical problems, ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions. This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields.

Fundamentals of Probability and Statistics for Engineers

Автор: T. T. Soong
Название: Fundamentals of Probability and Statistics for Engineers
ISBN: 0470868139 ISBN-13(EAN): 9780470868133
Издательство: Wiley
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Цена: 15257 р.
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Описание: Presents the fundamentals in probability and statistics along with relevant applications. This book explains the concept of probabilistic modelling and the process of model selection, verification and analysis. It also demonstrates practical problem solving with examples and exercises.

Statistics for engineers & scientists

Автор: Navidi
Название: Statistics for engineers & scientists
ISBN: 0071222057 ISBN-13(EAN): 9780071222051
Издательство: McGraw-Hill
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Цена: 4597 р.
Наличие на складе: Поставка под заказ.

Описание: Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modelling and data analysis that are most often used in scientific work.

Processing random data: statistics for engineers and scientists

Название: Processing random data: statistics for engineers and scientists
ISBN: 9812568344 ISBN-13(EAN): 9789812568342
Издательство: World Scientific Publishing
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Цена: 5464 р.
Наличие на складе: Поставка под заказ.

Описание: Two features of "Processing Random Data" differentiate it from other similar books: the focus on computing the reproducibility error for statistical measurements, and its comprehensive coverage of Maximum Likelihood parameter estimation techniques. The book is useful for dealing with situations where there is a model relating to the input and output of a process, but with a random component, which could be noise in the system or the process itself could be random, like turbulence. Parameter estimation techniques are shown for many different types of statistical models, including joint Gaussian.

The Cramer-Rao bounds are described as useful estimates of reproducibility errors. Finally, using an example with a random sampling of turbulent flows that can occur when using laser anemometry, the book also explains the use of conditional probabilities.

Statistics for Scientists and Engineers

Автор: Chattamvelli
Название: Statistics for Scientists and Engineers
ISBN: 1118228960 ISBN-13(EAN): 9781118228968
Издательство: Wiley
Рейтинг:
Цена: 11495 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best captures the data, or solve the problem at hand. This i

Probability and Statistics for Computer Scientists, Second Edition

Автор: Baron
Название: Probability and Statistics for Computer Scientists, Second Edition
ISBN: 1439875901 ISBN-13(EAN): 9781439875902
Издательство: Taylor&Francis
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Цена: 8986 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating 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 optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses.

New to the Second Edition

  • Axiomatic introduction of probability
  • Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap
  • More exercises at the end of each chapter
  • Additional MATLAB(R) codes, particularly new commands of the Statistics Toolbox

In-Depth yet Accessible Treatment of Computer Science-Related Topics
Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET).

Encourages Practical Implementation of Skills
Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.


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