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Measurement Errors and Uncertainties Theory and Practice /
Measurement Errors and Uncertainties addresses the most important problems that physicists and engineers encounter when estimating errors and uncertainty. Building from the fundamentals of measurement theory, the author develops the theory of accuracy of measurements and offers a wealth of practical...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2005.
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| Edición: | 3rd ed. 2005. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-0-387-29143-7 | ||
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| 005 | 20220117162105.0 | ||
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| 008 | 100301s2005 xxu| s |||| 0|eng d | ||
| 020 | |a 9780387291437 |9 978-0-387-29143-7 | ||
| 024 | 7 | |a 10.1007/0-387-29143-1 |2 doi | |
| 050 | 4 | |a T50 | |
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| 100 | 1 | |a Rabinovich, Semyon G. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Measurement Errors and Uncertainties |h [electronic resource] : |b Theory and Practice / |c by Semyon G. Rabinovich. |
| 250 | |a 3rd ed. 2005. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2005. | |
| 300 | |a XII, 308 p. 30 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a General Information About Measurements -- Measuring Instruments and Their Properties -- Prerequisites for the Analysis of the Inaccuracy of Measurements and for Synthesis of Their Components -- Statistical Methods for Experimental Data Processing -- Direct Measurements -- Indirect Measurements -- Examples of Measurements and Measurement Data Processing -- Combined Measurements -- Combining the Results of Measurements -- Calculation of the Errors of Measuring Instruments -- Problems in the Theory of Calibration -- Conclusion. | |
| 520 | |a Measurement Errors and Uncertainties addresses the most important problems that physicists and engineers encounter when estimating errors and uncertainty. Building from the fundamentals of measurement theory, the author develops the theory of accuracy of measurements and offers a wealth of practical recommendations and examples of applications. This new edition covers a wide range of subjects, including: - Basic concepts of metrology - Measuring instruments characterization, standardization and calibration -Estimation of errors and uncertainty of single and multiple measurements - Modern probability-based methods of estimating measurement uncertainty With this new edition, the author completes the development of the new theory of indirect measurements. This theory provides more accurate and efficient methods for processing indirect measurement data. It eliminates the need to calculate the correlation coefficient - a stumbling block in measurement data processing - and offers for the first time a way to obtain the confidence intervals. In other words, this new theory provides means to calculate a well-grounded estimate of measurement uncertainty for this complex but widely used type of measurements. Acclaim for previous editions: "Extremely useful to metrologists and to anyone interested in measurement errors" (MEASUREMENT SCIENCE AND TECHNOLOGY) "I suggest that every technical library should own a copy of Measurement Errors. Serious experimentalists whose interests are broad will surely want to examine the book with the intent of buying it". (Applied Mechanics Review). | ||
| 650 | 0 | |a Measurement. | |
| 650 | 0 | |a Measuring instruments. | |
| 650 | 0 | |a Control engineering. | |
| 650 | 0 | |a Robotics. | |
| 650 | 0 | |a Automation. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Chemometrics. | |
| 650 | 0 | |a Biomathematics. | |
| 650 | 1 | 4 | |a Measurement Science and Instrumentation. |
| 650 | 2 | 4 | |a Control, Robotics, Automation. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Mathematical Applications in Chemistry. |
| 650 | 2 | 4 | |a Mathematical and Computational Biology. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9780387506111 |
| 776 | 0 | 8 | |i Printed edition: |z 9781441920539 |
| 776 | 0 | 8 | |i Printed edition: |z 9780387253589 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/0-387-29143-1 |z Texto Completo |
| 912 | |a ZDB-2-PHA | ||
| 912 | |a ZDB-2-SXP | ||
| 950 | |a Physics and Astronomy (SpringerNature-11651) | ||
| 950 | |a Physics and Astronomy (R0) (SpringerNature-43715) | ||