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.The software should be developed in compliance with acknowledged software development standards (e.g., the Software Lifecycle ... In the scope of functionality, the traceability of the measurement re- sults and of all data modifications as well as the archiving of all raw ... failure (backup copies of data and programs) and documented procedures for preventive maintenance and fault repair are required.
|Title||:||Data Modeling for Metrology and Testing in Measurement Science|
|Author||:||Franco Pavese, Alistair B. Forbes|
|Publisher||:||Springer Science & Business Media - 2008-12-16|