Applied Statistics and Probability for Engineers

Douglas C. Montgomery

* This best-selling engineering statistics text provides a practical approach oriented to engineering as well as chemical and phys... Mehr

Format:	Kartonierter Einband (Kt)
EAN:	9780470505786
Anzahl Seiten:	776

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Titel :	Applied Statistics and Probability for Engineers
Untertitel :	International Student Version
Autor:	Douglas C. Montgomery
EAN:	9780470505786
ISBN :	978-0-470-50578-6
Format:	Kartonierter Einband (Kt)
Herausgeber:	Wiley John + Sons
Genre:	Sonstiges
Anzahl Seiten:	776
Gewicht:	1308g
Größe:	H252mm x B201mm x T33mm
Jahr:	2010
Auflage :	5. Auflage.
Sprache:	Englisch

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* This best-selling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. * The author emaphasises Real Engineering Applications Treatment of all topics is oriented towards real engineering applications.

Klappentext

Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Inhalt

1. The Role of Statistics in Engineering 2. Probability 3. Discrete Random Variables and Probability Distributions 4. Continuous Random Variables and Probability Distributions 5. Joint Probability Distributions 6. Random Sampling and Data Description 7. Point Estimation of Parameters 8. Statistical Intervals for a Single Sample 9. Tests of Hypotheses for a Single Sample 10. Statistical Inference for Two Samples 11. Simple Linear Regression and Correlation 12. Multiple Linear Regression 13. Design and Analysis of Single-Factor Experiments: The Analysis of Variance 14. Design of Experiments with Several Factors 15. Nonparametric Statistics 16. Statistical Quality Control Appendix A: Statistical Tables and Charts Appendix B: Answers to Selected Exercises Appendix C: Bibliography (online) Glossary Index Problem Solutions

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