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Introduction to data analysis; Distributions and their uses; Level four statistical analysis techniques.
Statistical methods are made easier for engineers and scientists in this highly respected interdisciplinary reference. Covering a broad spectrum of statistical methods used at intermediate and advanced levels, the second edition features new sections on additional graphical tools, acceptance sampling, and the uses of new software. Matching how-to procedures to specific disciplines simplifies the application. Coverage of each statistical principle is followed by an example of its application. Users gain vital guidance on survey sampling, computer simulation, design and analysis of experiments, and more. Guidelines for organizing and managing a statistical consulting firm are included.
* End-of-chapter summaries reinforce the main topics and goals of the chapter.
Now with even more examples with real data, real-world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professionakl engineer. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer situation, as well exceptionally clear statistical coverage, expanded discussions of quiality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p-values in hypothetical testing, and residual analysis. Highlights of the Fourth Edition: * New examples and applications provide a real-world perspective on how engineers use probability and statistics in professional practice. * Over 600 exercises, including many new computation problems, provide opportunities for hands-on learning. * An entirely new chapter on statistical methods for computer simulation methods covers Monte Carlo experimentation, random number and variate generation, and simulation output data analysis. * New chapter organization starts with probability theory and progresses through random variables, discrete and continuous distributions, and normal distribution, before introducing statistics and data description techniques. * Each chapter starts with an introduction that describes the importance of the topic and features interesting historical information related to the topic. * End-of-chapter summaries reinforce the main topics and goals of the chapter.
Very Good,No Highlights or Markup,all pages are intact.
The present book is meant for the first-year students of various universities. Engineering educationists feel that first-year students of all disciplines must have an elementary and general idea about various branches of electronics. Spread in sixteen chapters, the book broadly discusses.
In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.
This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous additional end-of-chapter problems and worked examples; and more.