Data modeling for metrology and testing in measurement science
Pavese, F.
Forbes, A.B.
This book and companion CD-ROM provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The focus is on metrology and testing, with an emphasis on various techniques having a broad range of real-world applications in a variety of fields. Mainstream methods of data modeling and analysis typically rely on certain assumptions that do not hold for practical applications. The methods and computational tools developed in this book address more generalmodels that arise in practice, allowing for a more valid treatment of calibration and test data. These new methods represent alternative ways of analyzing data and provide a deeper understanding of complex situations in measurement. The companion CD-ROM contains tutorials, sample code, and software packages with demos, allowing readers to test and use tools presented in the book withouthaving to write their own code. Takes the reader beyond mainstream methods described in standard texts on data and uncertainty analysis Real-world applications in a variety of fields A CD-ROM is included, which contains tutorials, sample implementation code, and software packages with demos May be used as a textbook in a graduate course on modeling and computational methods in calibration and testing INDICE: Preface.- Introduction: Data Modeling Principles in Metrology and Testing.- Probability in Metrology.- Statistical Approaches to Uncertainty Assessments.- Interval Mathematics and Statistics.- Parameter Estimation Based onLeast Squares Methods.- FFT, Wavelets Methods.- Data Fusion (Including NeuralNetworkds, Fuzzy Methods, Decision Taking, Risk Analysis).- Combining Data inChemistry.- Model-Imperfection Contribution to Uncertainty.- Data Assessment and Uncertainty Evaluation in Testing.- Modeling Randomness Using Monte Carlo Methods.- Software Validation and Software Quality Assurance.- Virtual Instruments.- IT Tools for Measurement.
- ISBN: 978-0-8176-4592-2
- Editorial: Birkhaüser
- Encuadernacion: Cartoné
- Páginas: 450
- Fecha Publicación: 01/10/2008
- Nº Volúmenes: 1
- Idioma: Inglés