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Informationen zum Autor Peter W. M. John is the author of Statistical Methods in Engineering and Quality Assurance , published by Wiley. Klappentext Reflecting more than 30 years of teaching experience in the field, this guide provides engineers with an introduction to statistics and its applicability to engineering. Examples cover a wide range of engineering applications, including both chemical engineering and semiconductors. Among the topics featured are: quality assurance and statistics, continuous variables, hypothesis testing, comparative experiments, acceptance sampling, the analysis of variance, Taguchi and Orthogonal arrays. Tables, references and an index round out this work. Zusammenfassung Reflecting more than 30 years of teaching experience in the field! this guide provides engineers with an introduction to statistics and its applicability to engineering. Examples cover a wide range of engineering applications! including both chemical engineering and semiconductors. Inhaltsverzeichnis Quality Assurance and Statistics. Descriptive Statistics. Discrete Variables, or Attributes. Continuous Variables. The Normal Distribution. Some Standard Statistical Procedures. Hypothesis Testing. Comparative Experiments. Quality Control Charts. Control Charts for Attributes. Acceptance Sampling I. Acceptance Sampling II. Further Topics on Control Charts. Bivariate Data: Fitting Straight Lines. Multiple Regression. The Analysis of Variance. Design of Experiments: Factorial Experiments at Two Levels. Design of Experiments: Factorial Experiments at SeveralLevels. Taguchi and Orthogonal Arrays. References. Tables. Index.
