Data Modeling for Metrology and Testing in Measurement Science Hardback
Edited by Franco Pavese, Alistair B. Forbes
Part of the Modeling and Simulation in Science, Engineering and Technology series
This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods and focusing on techniques with a broad range of real-world applications. The book will be useful as a textbook for graduate students, or as a training manual in the fields of calibration and testing.
The work may also serve as a reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science.
- Format: Hardback
- Pages: 486 pages, 31 Tables, black and white; 111 Illustrations, black and white; XVIII, 486 p. 111 illus.
- Publisher: Birkhauser Boston Inc
- Publication Date: 17/12/2008
- Category: Applied mathematics
- ISBN: 9780817645922