Measurement and Data Analysis for Engineering and Science by Patrick F Dunn

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Publication Date
2017-12-18
Book Title
Measurement and Data Analysis for Engineering and Science
Edition Number
4
ISBN
9781138050860
類別

關於產品

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1138050865
ISBN-13
9781138050860
eBay Product ID (ePID)
240332281

Product Key Features

Number of Pages
576 Pages
Language
English
Publication Name
Measurement and Data Analysis for Engineering and Science
Subject
Measurement, Engineering (General), Probability & Statistics / General, Mechanical, Sensors, Civil / General
Publication Year
2017
Features
New Edition
Type
Textbook
Author
Patrick F Dunn, Michael P. Davis
Subject Area
Mathematics, Technology & Engineering
Format
Hardcover

Dimensions

Item Height
1.5 in
Item Weight
44.1 Oz
Item Length
10.3 in
Item Width
7.3 in

Additional Product Features

Edition Number
4
Intended Audience
College Audience
LCCN
2017-040064
Illustrated
Yes
Table Of Content
Fundamentals of Experimentation. Experiments. Concept Chapter: Measurement System Components . Fundamental Electronics. Measurement Systems: Sensors and Transducers. Mesurement Systems: Other Components. Concept Chapter: Assessing Measurement Systems Performance . Measurement Systems: Calibration and Response. Measurement Systems: Design-Stage Uncertainty. Concept Chapter: Setting Signal Sampling Conditions. Signal Characteristics. The Fourier Transform. Digital Signal Analysis. Concept Chapter: Analizing Experimental Results . Probability. Statistics. Uncertainty Analysis. Regression and Correlation. Concept Chapter: Units and Significant Figures. Technical Communication. Glossary. Symbols. Review Problem Answers. Index.
Edition Description
New Edition
Synopsis
Measurement and Data Analysis for Engineering and Science, Fourth Edition , provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapters" to introduce major areas of experimentation generally before the topics are treated in detail, to make the text more accessible for undergraduate students. These feature Measurement System Components, Assessing Measurement System Performance, Setting Signal Sampling Conditions, Analyzing Experimental Results, and Reporting Experimental Results. More practical examples, case studies, and a variety of homework problems have been added; and MATLAB and Simulink resources have been updated.
LC Classification Number
QC39.D86 2018

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