Applied statistics and probability for engineers / Douglas C. Montgomery.
Publisher: [S.l.] : John Wiley & Sons, 1998Edition: 2nd edDescription: 817 p. ; 24 cmISBN: 0471170275; 9780471170273Subject(s): Science/Mathematics | Mathematical Statistics | Probabilities | Applied mathematics | Applied physics | Probability & statistics | Technology & Industrial Arts | Mathematics | Statistics | Engineering - General | MATHEMATICS / Probability & Statistics / General | Probability & Statistics - General | Technology & Engineering / Engineering (General) | Engineering | Statistical methodsDDC classification: 519.5 Online resources: Amazon.com | Amazon customer reviews Summary: This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes and who improve existing systems. Written by engineers for engineers, the examples and exercises are engineering-based, containing real data. And because computers are used to apply statistical methods to solve problems, output is presented from Statgraphics and SAS to illustrate what can be done with modern statistical software. Readers will master discrete and continuous random variables and probability distributions; point and interval estimation; testing hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Central Library (CL) | Central Library (CL) | 519.5 MON (Browse shelf) | Available | NBS4918 | ||
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Central Library (CL) | Central Library (CL) | 519.5 MON (Browse shelf) | Checked out to Abd Ur Rehman Shafique (37401-5106552-1) | 02/27/2025 | NBS4302 |
Hardcover.
This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes and who improve existing systems. Written by engineers for engineers, the examples and exercises are engineering-based, containing real data. And because computers are used to apply statistical methods to solve problems, output is presented from Statgraphics and SAS to illustrate what can be done with modern statistical software. Readers will master discrete and continuous random variables and probability distributions; point and interval estimation; testing hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.
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