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SPC Calculations for Control Limits Notation: Portions of the book require calculus and matrix algebra. For advanced undergrad/first-year graduate, with a prerequisite of basic statistical methods. Minitab and SAS are used to illustrate how the methods are implemented in practice.
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Jennings, Murat Kulahci Methods for modeling and analyzing time series data, to draw inferences about the data and generate forecasts useful to the decision maker. Introduction to Time Series Analysis and Forecasting by Douglas C. The range of theoretical topics and applications appeals both to students and practicing professionals. Robinson An introductory text or reference on Generalized Linear Models (GLMs). Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition by R. Anderson-Cook Website: The exploration and optimization of response surfaces for graduate courses in experimental design and for applied statisticians, engineers, and chemical and physical scientists. Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Third Edition by R. Vining A comprehensive and thoroughly up-to-date look at regression analysis, still the most widely used technique in statistics today. Introduction to Linear Regression Analysis, Fifth Edition by D. Montgomery An introduction to the design and analysis of experiments, with the modest prerequisite of a first course in statistical methods. Design and Analysis of Experiments, Seventh Edition by Douglas C. Borror Website: For a first two-semester course in applied probability and statistics for undergraduate students, or a one-semester refresher for graduate students, covering probability from the start. Probability and Statistics in Engineering, Fourth Edition by W. An applied approach to solving real-world engineering problems. Runger Introduction to engineering statistics, with topical coverage appropriate for either a one- or twosemester course.
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Applied Statistics and Probability for Engineers, Fifth Edition by D. A modest mathematical level and an applied approach. Hubele Introduction to engineering statistics, with topical coverage appropriate for a one-semester course. Montgomery Website: Engineering Statistics, Fifth Edition by D.