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03909nam a22005535i 4500 |
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978-0-387-29143-7 |
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DE-He213 |
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20151204175003.0 |
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100301s2005 xxu| s |||| 0|eng d |
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|a 9780387291437
|9 978-0-387-29143-7
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|a 10.1007/0-387-29143-1
|2 doi
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|a Rabinovich, Semyon G.
|e author.
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|a Measurement Errors and Uncertainties
|h [electronic resource] :
|b Theory and Practice /
|c by Semyon G. Rabinovich.
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|a Third Edition.
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|a New York, NY :
|b Springer New York,
|c 2005.
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| 300 |
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|a XII, 308 p. 30 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|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.
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|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).
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|a Physics.
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|a Chemometrics.
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|a Biomathematics.
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|a Physical measurements.
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|a Measurement.
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|a Computational intelligence.
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|a Control engineering.
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|a Robotics.
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|a Mechatronics.
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|a Physics.
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|a Measurement Science and Instrumentation.
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| 650 |
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|a Control, Robotics, Mechatronics.
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| 650 |
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|a Computational Intelligence.
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| 650 |
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|a Math. Applications in Chemistry.
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| 650 |
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|a Mathematical and Computational Biology.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9780387253589
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|u http://dx.doi.org/10.1007/0-387-29143-1
|z Full Text via HEAL-Link
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|a ZDB-2-PHA
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|a Physics and Astronomy (Springer-11651)
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