This second edition, like the first, is about how to generate informative data and how to extract information from data. The short-chapter format of the first edition has been retained. The goal is for the reader to be able to “dip in” where the case study or the statistical method stimulates interest without having to study the book from front to back, or in any particular order.
Thirteen new chapters deal with experimental design, selecting the sample size for an experiment, time series modeling and forecasting, transfer function models, weighted least squares, laboratory quality assurance, standard and specialty control charts, and tolerance and prediction intervals. The chapters on regression, parameter estimation, and model building have been revised. The chapters on transformations, simulation, and error propagation have been expanded.
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