Statistics in Engineering: With Examples in Matlab(r) and R, Second Edition (Hardcover, 2)

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.