Titolo: Measurement and Data Analysis for Engineering and Science (Engineering Series)
Editore: McGraw-Hill Science/Engineering/Math
Data di pubblicazione: 2004
Lingua: Inglese
ISBN 10: 0072825383
ISBN 13: 9780072825381
Rilegatura: Hardcover
Condizione: As New
Condizione della sovraccoperta: No Jacket
Peso: 2,3 libbre

Descrizione articolo

Riassunto

*******Text is available as of 5/21/2004!********

Dunn's Measurement and Data Analysis for Engineering & Science places emphasis on the process of experimentation, rather than the products of experimentation. Dunn’s objective is to expose undergraduates and experimentalists to the essential tools of experimentation, to the scientific detail behind these tools, and to the role of experimentation in the scientific process. Guided by worked examples, MATLAB sidebars, and laboratory exercises, the reader builds a strong working knowledge while moving progressively through the text.

The first three chapters of the text cover the basics--experimental methods, units & significant figures, technical communications and basic electronics. Hardware issues are then presented, with a focus on measurement systems, and calibration & response. The final chapters deal with data analysis, with an overview of basic probability & statistics, uncertainty analysis, signal characteristics, and digital signal analysis. Following the text chapters, a full laboratory manual, with an introduction and twelve lab experiments, is included. This gives users a chance to put their basic skills to work in actual engineering experiments, which are taken from a variety of engineering subject areas.

Throughout the book computer techniques are discussed, and specific MATLAB applications are included, for problem modeling, exploration and solution. MATLAB "sidebars" are used to present MATLAB, and associated M-files are provided on the Web site.

Contenuti

Basics

1 Experiments

2 Units and Significant Figures

3 Technical Communication

4 Basic Electronics

Hardware

5 Calibration and Response

6 Measurement Systems

Analyses

7 Probability

8 Statistics

9 Uncertainty Analysis

10 Regression and Correlation

11 Signal Characteristics

12 Digital Signal Analysis

Appendix A Symbols

Appendix B Glossary

Appendix C Conversions

Appendix D Learning Objective Nomenclature

Appendix E Physical Principles

Appendix F Review Puzzle Solutions

Appendix G Problem Solutions

Appendix H Laboratory Exercises

Appendix I Derivations

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