Applied Statistics and Probability for Engineers. Este artículo no está disponible.
Douglas C. Montgomery/ George C. Runger
Idioma: inglés
Editorial: John Wiley & Sons Inc, 2006
- Tapa dura
- Nuevo

Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Vendedor de IberLibro desde 6 de enero de 2003
Condición: Nuevo
EUR 71,48
Descripción del artículo del vendedor
4th edition. 768 pages. 10.25x8.25x1.25 inches. In Stock.
N° de ref. del artículo 0471745898
- Título
- Applied Statistics and Probability for Engineers
- Autor
- Douglas C. Montgomery/ George C. Runger
- Editorial
- John Wiley & Sons Inc
- Año de publicación
- 2006
- Estado
- Brand New
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 0471745898
- ISBN 13
- 9780471745891
- Edición
- 4ª Edición
- Peso del artículo
- 1,45 kilogramos
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
With Montgomery and Runger s best-selling engineering statistics text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing systems and processes. You ll gain a better understanding of how these methods are used in everyday work, and get a taste of practical engineering experience through real-world, engineering-based examples and exercises.
Now revised, this Fourth Edition of Applied Statistics and Probability for Engineers features many new homework exercises, including a greater variation of problems and more computer problems.
Key Features
- The text treats all topics in a way that reflects today's engineering realities. In the probability chapters, the authors emphasize engineering-specific examples, rather than counting methods or artificial applications such as gambling.
- Examples and exercises throughout the text use real data and real engineering situations.
- Coverage of probability is lively and interesting. It is complete but concise so as not to take over the content of the entire text.
- Thorough coverage of regression modeling, design of engineering experiments, and statistical process control from experts in these topics makes the book especially useful as a reference.
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