Engineering Statistics. Este artículo no está disponible.
Hubele, Norma Faris, Runger, George C., Montgomery, Douglas C.
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Idioma: inglés
Editorial: Wiley & Sons, Incorporated, John, 2000
- Tapa dura
- Usado
Librería: Better World Books Ltd, Dunfermline, Reino UnidoBetter World Books Ltd
Vendedor de 5 estrellas
Vendedor de IberLibro desde 13 de octubre de 2008
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Condición: Usado - Bueno
EUR 6,82
Descripción del artículo del vendedor
Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
N° de ref. del artículo GRP63620090
- Título
- Engineering Statistics
- Autor
- Hubele, Norma Faris, Runger, George C., Montgomery, Douglas C.
- Editorial
- Wiley & Sons, Incorporated, John
- Año de publicación
- 2000
- Estado
- Very Good
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 0471388793
- ISBN 13
- 9780471388791
- Edición
- 2nd.
- Peso del artículo
- 2,37 libras
- Dimensiones
- N/A
This book gives a modern treatment of engineering statistics, focusing on how statistics is integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, statistical process control, and some probability and probability distributions. All examples and exercises are based on real-world applications of statistics in engineering.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
This book gives a modern treatment of engineering statistics, focusing on how statistics is integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, statistical process control, and some probability and probability distributions. All examples and exercises are based on real-world applications of statistics in engineering.
“Acerca de” puede pertenecer a otra edición de este título.
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