Experimentation and Uncertainty Analysis for Engineers. Este artículo no está disponible.
Idioma: inglés
Editorial: Wiley-Interscience (edition 1), 1989
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
N° de ref. del artículo 0471635170-8-1-29
- Título
- Experimentation and Uncertainty Analysis for Engineers
- Autor
- Coleman, Hugh W.; Steele, W. Glenn
- Editorial
- Wiley-Interscience (edition 1)
- Año de publicación
- 1989
- Estado
- Very Good
- Sobrecubierta
- Sobrecubierta Incluida
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 0471635170
- ISBN 13
- 9780471635178
- Edición
- 1.
Errors occur in every measurement, and failure to consider the effects of these errors in the early stages of an experimental program can produce costly, even disastrous ramifications. The techniques demonstrated in this book are designed to bring greater sophistication and verifiability to engineering experiments, from the early planning and design stages, through the debugging, execution, data analysis and reporting phases. The author presents a balanced treatment of both categories of experimental uncertainty - precision errors and bias errors. This is in contrast to previous works by authors who assume that bias errors are negligible, or can be eliminated by calibration.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Errors occur in every measurement, and failure to consider the effects of these errors in the early stages of an experimental program can produce costly, even disastrous ramifications. The techniques demonstrated in this book are designed to bring greater sophistication and verifiability to engineering experiments, from the early planning and design stages, through the debugging, execution, data analysis and reporting phases. The author presents a balanced treatment of both categories of experimental uncertainty - precision errors and bias errors. This is in contrast to previous works by authors who assume that bias errors are negligible, or can be eliminated by calibration.
“Acerca de” puede pertenecer a otra edición de este título.