Data Reduction and Error Analysis for the Physical Sciences. Este artículo no está disponible.
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Idioma: inglés
Editorial: McGraw-Hill Education - Europe, 2002
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- Usado
Librería: World of Books Inc, Montgomery, IL, Estados Unidos de AmericaWorld of Books Inc
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Vendedor de IberLibro desde 23 de marzo de 2026
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EUR 33,74
Descripción del artículo del vendedor
Aims to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. This text also provides a variety of numerical and graphical techniques.
N° de ref. del artículo CIN0072472278A
- Título
- Data Reduction and Error Analysis for the Physical Sciences
- Autor
- Philip Bevington
- Editorial
- McGraw-Hill Education - Europe
- Año de publicación
- 2002
- Estado
- Fair
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 0072472278
- ISBN 13
- 9780072472271
- Edición
- 3ª Edición
The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view, including enough derivation to justify the results, but emphasizing methods of handling data more than theory. The text provides a variety of numerical and graphical techniques. Computer programs that support these techniques will be available on an accompanying website in both Fortran and C++.
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Reseña del editor
The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view, including enough derivation to justify the results, but emphasizing methods of handling data more than theory. The text provides a variety of numerical and graphical techniques. Computer programs that support these techniques will be available on an accompanying website in both Fortran and C++.
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