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Download Probability and Statistics in Engineering and Management Science fb2, epub

by William W. Hines

Download Probability and Statistics in Engineering and Management Science fb2, epub

ISBN: 0471047597
Author: William W. Hines
Language: English
Publisher: John Wiley & Sons Inc; 2nd edition (September 24, 1980)
Pages: 650
Category: Mathematics
Subcategory: Science
Rating: 4.7
Votes: 235
Size Fb2: 1864 kb
Size ePub: 1113 kb
Size Djvu: 1985 kb
Other formats: azw txt doc mobi


Probability and Statistics for Engineering and the Sciences. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly.

Probability and Statistics for Engineering and the Sciences.

in probability and statistics for students in engineering and applied sciences. Ask yourself: How shall I live, knowing I will die? Next. Get Top Trending Free Books in Your Inbox. Probability and Statistics for Engineering and the Sciences Solution Manual 9th Ed. 222 Pages·2016·41. 38 MB·490 Downloads·New!. 76 MB·275 Downloads·New! results. Features numerous examples using actual engineering and scientific studies.

Author Hines, William . Montgomery, Douglas . Goldsman, David . Borror, Connie M. ISBN 0471240877. ISBN13 9780471240877. More Books . ABOUT CHEGG.

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It is clear and well written with plenty of problems.

It is clear and well written with plenty of problems. I would personally prefer more example problems and more work problems with solutions, but it is getting harder and harder to find that these days.

Find nearly any book by William W. Hines. Get the best deal by comparing prices from over 100,000 booksellers. Probability and Statistics in Engineering and Management Science: ISBN 9780471050063 (978-0-471-05006-3) Softcover, John Wiley & Sons Inc, 1980. Probability and Statistics: In Engineering and Management Science: ISBN 9780826041456 (978-0-8260-4145-6) Hardcover, Ronald Press, 1972.

6. Newbold, . Carlson, . and Thorne, . (2003) Statistics for Business and Economics, New Jersey: Prentice Hall.

Описание: This book has been designed for senior engineering, mathematics and systems science students. In addition, the author has used the optional, advanced sections as the basis for graduate courses in quality control and queueing.

There is a new chapter on nonparametric statistics, a new section on p-values in hypothetical testing, new coverage of residual analysis, and more material on quality control and experiment design. Provides chapter introductions, including interesting historical information, and there are more illustrations and many new problems.

Now with even more examples with real data, real-world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professionakl engineer.Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer situation, as well exceptionally clear statistical coverage, expanded discussions of quiality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p-values in hypothetical testing, and residual analysis.Highlights of the Fourth Edition:* New examples and applications provide a real-world perspective on how engineers use probability and statistics in professional practice.* Over 600 exercises, including many new computation problems, provide opportunities for hands-on learning.* An entirely new chapter on statistical methods for computer simulation methods covers Monte Carlo experimentation, random number and variate generation, and simulation output data analysis.* New chapter organization starts with probability theory and progresses through random variables, discrete and continuous distributions, and normal distribution, before introducing statistics and data description techniques.* Each chapter starts with an introduction that describes the importance of the topic and features interesting historical information related to the topic.* End-of-chapter summaries reinforce the main topics and goals of the chapter.

Comments:

Gavikelv
This book was very helpful for me to review the subject. It is clear and well written with plenty of problems. I would personally prefer more example problems and more work problems with solutions, but it is getting harder and harder to find that these days.
Morad
I'm an engineer, I've been out of school for 3 years and I bought this book for my first grad class. The book itself is like most textbooks... reading it will put you to sleep. However this book was great for learning the material. My professor is extremely hard to understand and not very helpful in lecture. Basically I taught myself the material from this book and passed with an A.
Na
I bought this book for one of my project and read most of its chapters. I feel that this book may be good for student in engineering major but sure not good enough for engineers.
great ant
A must have for the industrial engineer and quality professional. Montgomery and Hines present an excellent piece that is well organized, comprehensive and stocked full of real world examples. A must have for your reference books and library.

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