| Description |
1 online resource (ix, 574 pages) |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
I. Planning an experiment -- II. Identifying components -- III. Assessing performance -- IV. Setting sampling conditions -- V. Analyzing data -- VI. Reporting results. |
| Summary |
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 |
| Subject |
Physical measurements -- Textbooks.
|
|
Engineering mathematics -- Textbooks.
|
|
Statistics -- Textbooks.
|
|
Engineering mathematics |
|
Physical measurements |
|
Statistics |
| Genre |
Textbooks
|
| Added Author |
Davis, Michael P., author.
|
| Other Form: |
Print version: Dunn, Patrick F. Measurement and data analysis for engineering and science. Fourth edition. Boca Raton : Taylor & Francis, CRC Press, 2018 9781138050860 (DLC) 2017040064 (OCoLC)1003268911 |
| ISBN |
9781315168586 (electronic bk.) |
|
1315168588 (electronic bk.) |
|
9781351686396 |
|
1351686399 |
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