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Applied Statistics and Probability for Engineers

Applied Statistics and Probability for Engineers
Author: Douglas C. Montgomery
Publisher: Wiley
Total Pages: 0
Release: 2005-09-02
Genre: Technology & Engineering
ISBN: 9780471735564

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* More Motivation - A completely revised chapter 1 gets students motivated right from the beginning. * Revised Probability Topics - The authors have revised and enhanced probability topics to promote even easier understanding. * Chapter Reorganization - Chapters on hypothesis testing and confidence intervals have been reorganized and rewritten. There is now expanded treatment of confidence intervals, prediction intervals, and tolerance intervals. * Real Engineering Applications - Treatment of all topics is oriented towards real engineering applications. In the probability chapters, the authors do not emphasize counting methods or artificial applications such as gambling. * Real Data, Real Engineering Situations - Examples and exercises throughout text use real data and real engineering situations. This motivates students to learn new concepts and gives them a taste of practical engineering experience. Use of the Computer - Computer usage is closely integrated into the text and homework exercises.


Applied Statistics and Probability for Engineers

Applied Statistics and Probability for Engineers
Author: Douglas C. Montgomery
Publisher:
Total Pages: 792
Release: 2014-03-17
Genre: TECHNOLOGY & ENGINEERING
ISBN: 9781118744123

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"This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows how statistics, the science of data is just as important for engineers as the mechanical, electrical, and materials sciences"--


Applied Statistics and Probability for Engineers

Applied Statistics and Probability for Engineers
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
Total Pages: 791
Release: 2010-03-22
Genre: Technology & Engineering
ISBN: 0470053046

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Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.


Applied Probability for Engineers and Scientists

Applied Probability for Engineers and Scientists
Author: Ephraim Suhir
Publisher: McGraw-Hill Professional Publishing
Total Pages: 636
Release: 1996-12-31
Genre: Mathematics
ISBN:

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This text is a concise guide to the principles of probability as used in the design and anlysis of engineered products and systems. With today's demand for total quality, products must be enigneered to have an extended lifetime, operating effectivly at all times to match the user's expectations. This book covers probabilistic methods and approaches used in engineering design and analysis in such disciplines as mechanical, civil, electrical, communications and quality engineering. Its emphasis is on structural analysis and mechanical design as well as practical applications.


Statistics and Probability for Engineering Applications

Statistics and Probability for Engineering Applications
Author: William DeCoursey
Publisher: Elsevier
Total Pages: 396
Release: 2003-05-14
Genre: Mathematics
ISBN: 0080489753

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Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory


Applied Statistics for Engineers and Scientists

Applied Statistics for Engineers and Scientists
Author: David M. Levine
Publisher: Pearson
Total Pages: 746
Release: 2001
Genre: Business & Economics
ISBN:

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For courses in Probability and Statistics. This applied text for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important to students in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software (Microsoft Excel and Minitab) as well as in-depth coverage of quality and experimental design complete this treatment of statistics.


Applied Statistics for Engineers and Scientists

Applied Statistics for Engineers and Scientists
Author: Jay L. Devore
Publisher: Cengage Learning
Total Pages: 0
Release: 2013-08-08
Genre: Mathematics
ISBN: 9781133111368

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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Probability and Statistics for Engineers

Probability and Statistics for Engineers
Author: Richard L. Scheaffer
Publisher:
Total Pages: 818
Release: 2011
Genre: Probabilities
ISBN: 9780538735902

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PROBABILITY AND STATISTICS FOR ENGINEERS, 5e, International Edition provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results. Traditional topics are presented thorough a wide array of illuminating engineering applications and an accessible modern framework that emphasizes statistical thinking, data collection and analysis, decision-making, and process improvement skills


Introduction to Probability and Statistics for Engineers and Scientists

Introduction to Probability and Statistics for Engineers and Scientists
Author: Sheldon M. Ross
Publisher:
Total Pages: 532
Release: 1987
Genre: Mathematics
ISBN:

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Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.