Andrew Metcalfe, Tony Greenfield
© 2018 - Chapman and Hall/CRC
Published July 1, 2018
Textbook - 700 Pages - 100 B/W Illustrations
ISBN 9781439895474 - CAT# K14230
Series: Chapman & Hall/CRC Texts in Statistical Science
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This is a textbook for an undergraduate course in statistics for engineers with a minimal calculus prerequisite. The second edition differs from existing books in three main aspects: it is the only introductory statistics textbook written for engineers that uses R throughout the text, there is an emphasis on statistical methods most relevant to engineers that are illustrated with practical applications, and there is an emphasis on random number generation and simulation, all very useful features in engineering.
Why understand statistics? Probability and making decisions. Justifying decisions—descriptive statistics. Modeling variability—discrete probability distributions. Modeling variability—continuous probability distributions. Modeling variability—pseudo-random number generation and goodness of fit. Combining variables. Precision of estimates. Regression I—one predictor variable. Regression II—several predictor variables. Regression III—Non-linear models. Multivariate distributions and Bayesian modeling. DOE I. DOE II. Probability models. Reliability. Sampling strategies. Time series analysis. Appendix A: Mathematical explanations of key results. Appendix B: Reference guide. Appendix C: Summary of MINITAB commands used in text. Appendix D: Data sets. Appendix E: Statistical tables.
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