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Patrick F. Dunn, Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition
CRC Press, 2010, 504 pages (English)

This textbook covers the fundamental tools of experimentation that are currently used by both engineers and scientists. These include the basics of experimentation (types of experiments, units, and technical reporting), the hardware of experiments (electronics, measurement system components, system calibration, and system response), and the methods of data analysis (probability, statistics, uncertainty analysis, regression and correlation, signal characterization, and signal analysis). Historical perspectives also are provided in the text. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material.

Contents
Experiments
Electronics
Measurement Systems
Calibration and Response
Probability
Statistics
Uncertainty Analysis
Regression and Correlation
Signal Characteristics
Signal Analysis
Units and Signi cant Figures
Technical Communication
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