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Statistics for Engineers An Introduction

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ISBN-10: 0470745568

ISBN-13: 9780470745564

Edition: 2009

Authors: Jim Morrison

List price: $110.95
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Introductory Engineering Statistics starts with a clear description of the nature of variability and some basic statistical methods, including cumulative frequency distributions such as Binomial, Poisson, Normal and Chi-squared distribution. Control and cusum charts, sampling inspection, significance tests, analysis of variance and linear regression are covered in the next chapter on production. A section on engineering design goes into details about variance synthesis, factors of safetly, tolarances and the future. A research and development section discusses the design of experiments, evolutionary operation, multiple regression and further statistical methods, before chapter six covers a bit about the background of measurement and statistical computing.The book explores wider issues in the last two chapters, namely management and training. Topics include quality planning and organisation, directing the quality function, and controlling the quality function. The whole book emphasises practical application and offers guidelines, a periodical, statistical tables, supplementary references, and suggested further reading, useful for the practising engineer requiring further information.
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Book details

List price: $110.95
Copyright year: 2009
Publisher: John Wiley & Sons, Limited
Publication date: 6/19/2009
Binding: Hardcover
Pages: 192
Size: 6.25" wide x 9.00" long x 0.75" tall
Weight: 0.880

An American singer, songwriter, poet, writer and filmmaker, Morrisonnbsp;was best known as the lead singer and lyricist of The Doors.nbsp;Included amongnbsp;Rolling Stone's "100 Greatest Singers of All Time," Morrison died in July of 1971.

About the Author
Nature of Variability
Basic Statistical Methods
Divisor 'n' or 'n-1'?
Covariance and Correlation
Normal Distribution
Cumulative Frequency Distributions
Binomial Distributions
Poisson Distribution
Chi-squared Distribution
Sampling Inspection
Control Charts
Cusum Charts
Significance Tests
Analysis of Variance
Linear Regression
Engineering Design
Variance Synthesis
Factors of Safety
The Future
Research and Development
Design of Experiments
Evolutionary Operation
Multiple Regression
More Statistical Methods
Statical Computing
Quality Management
Quality Planning
Quality Organisation
Directing the Quality Function
Controlling the Quality Function
Statistical Engineering
Recommended Books
Supplementary Bibliography
Statistical Tables