Freshly Printed - allow 7 days lead
Couldn't load pickup availability
Statistics for Engineers
An Introduction
Jim Morrison (Author)
9780470745564, Wiley
Hardback, published 19 June 2009
192 pages
23.4 x 15.8 x 1.7 cm, 0.413 kg
"This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent." (Zentralblatt MATH, 1 August 2013) "It deserves to become a standard text to encourage the best in industrial practice." (Engineering & Technology, November 2009)
This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated. This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry. Inside, you will find coverage on: The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context. Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.
About the Author vii Foreword ix Preface xi Acknowledgements xiii 1 Nature of Variability 1 2 Basic Statistical Methods 9 2.1 Variance 9 2.2 Divisor ‘n’ or ‘n-1’? 11 2.3 Covariance and Correlation 13 2.4 Normal Distribution 14 2.5 Cumulative Frequency Distributions 18 2.6 Binomial Distribution 20 2.7 Poisson Distribution 25 2.8 Chi-squared Distribution 26 Bibliography 31 3 Production 33 3.1 Sampling Inspection 34 3.2 Control Charts 37 3.3 Cusum Charts 40 3.4 Significance Tests 43 3.5 Analysis of Variance 49 3.6 Linear Regression 52 Bibliography 57 4 Engineering Design 61 4.1 Variance Synthesis 61 4.2 Factors of Safety 68 4.3 Tolerances 69 4.4 The Future 71 Bibliography 72 5 Research and Development 75 5.1 Design of Experiments 76 5.2 Evolutionary Operation 95 5.3 Multiple Regression 96 5.4 More Statistical Methods 111 Bibliography 115 6 Background 119 6.1 Measurement 119 6.2 Statistical Computing 121 Bibliography 127 7 Quality Management 129 7.1 Quality Planning 129 7.2 Quality Organisation 135 7.3 Directing the Quality Function 137 7.4 Controlling the Quality Function 140 7.5 Statistical Engineering 141 Bibliography 142 8 Conclusion 145 Appendix A: Guidelines 147 Appendix B: Recommended Books 151 Appendix C: Periodicals 161 Appendix D: Supplementary Bibliography 165 Appendix E: Statistical Tables 171 Index 173
Subject Areas: Mathematics [PB]
