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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
Перевод названия: Аюб Билал: Вероятность, статистика и надежность для инженеров и ученых
ISBN: 9781439809518
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1439809518
Обложка/Формат: Hardback
Страницы: 674
Вес: 1.308 кг.
Дата издания: 20.04.2011
Язык: English
Издание: 3 ed
Иллюстрации: 164 tables, black and white; 226 illustrations, black and white
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.





      Старое издание

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
Рейтинг:
Цена: 9781 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Applied Statistics and Probability for Engineers 6 ed.

Автор: Montgomery Douglas C.
Название: Applied Statistics and Probability for Engineers 6 ed.
ISBN: 1118744128 ISBN-13(EAN): 9781118744123
Издательство: Wiley
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Цена: 7602 р.
Наличие на складе: Невозможна поставка.

Описание: The text provides a practical approach oriented to engineering as well as chemical and physical sciences. Students learn how the material will be relevant in their careers through the integration throughout of unique problem sets that reflect realistic applications and situations.

Response Surface Methodology

Автор: Myers Raymond H.
Название: Response Surface Methodology
ISBN: 1118916018 ISBN-13(EAN): 9781118916018
Издательство: Wiley
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Цена: 20109 р.
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Описание: Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.


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