Applied Statistics and Probability for Engineers. Este artículo no está disponible.
Douglas C. Montgomery; George C. Runger
157 valoraciones de Goodreads
Idioma: inglés
Editorial: Wiley, 1998
- Tapa dura
- Usado

Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de AmericaThriftBooks-Dallas
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Tapa dura
Condición: Usado - Bueno
EUR 8,93
Descripción del artículo del vendedor
May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
N° de ref. del artículo G0471170275I4N00
- Título
- Applied Statistics and Probability for Engineers
- Autor
- Douglas C. Montgomery; George C. Runger
- Editorial
- Wiley
- Año de publicación
- 1998
- Estado
- Very Good
- Sobrecubierta
- No Jacket
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 0471170275
- ISBN 13
- 9780471170273
- Edición
- 2ª Edición
- Peso del artículo
- 3,5 libras
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. The examples and exercises are engineering-based, containing real data. 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 are shown how to 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.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
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. The examples and exercises are engineering-based, containing real data. 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 are shown how to 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.
“Acerca de” puede pertenecer a otra edición de este título.