Statistical Methods For Engineers

Author: G. Geoffrey Vining
Publisher: Cengage Learning
ISBN: 053873518X
Size: 48.11 MB
Format: PDF, ePub, Mobi
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STATISTICAL METHODS FOR ENGINEERS offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems with real data based on actual journals and consulting experience in the field, students see how statistics fits within the methods of engineering problem solving. The text teaches students how to think like an engineer at analyzing real data and planning a project the same way they will in their careers. Case studies simulate problems students will encounter professionally and tackle on long-term job projects. The presentation makes extensive use of graphical analysis, and use of statistical software is encouraged for problem-solving to illustrate how engineers rely on computers for data analysis. The authors relate their own extensive professional experience as engineers in short margin notes called Voice of Experience that lend valuable context to how students will apply concepts in the field and why they’re important to learn. And a rich companion website provides hours of multimedia lecture presentation narrated by the authors to show the material related live by different voices, simulating how students will listen and learn from multiple colleagues in their jobs. A flexible organization allows instructors to emphasize the topics they need and cater the presentation to different engineering majors in their courses. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Handbook Of Statistical Methods For Engineers And Scientists

Author: Harrison M. Wadsworth
Publisher: McGraw Hill Professional
ISBN: 9780070676787
Size: 48.72 MB
Format: PDF, Mobi
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This text is designed to be an interdisciplinary reference work for engineers and scientists who use statistics and statistical methods in their everyday work. This edition has new sections on acceptance sampling, computer software, and added graphical tools.

Statistical Methods For Engineers And Scientists

Author: Robert M. Bethea
Publisher:
ISBN:
Size: 27.48 MB
Format: PDF, ePub, Docs
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Revised and expanded edition of a text that is intended as a basic introductory course in applied statistical methods for students of engineering and the physical sciences at the undergraduate level. Theoretical developments and mathematical treatment of the principles involved are included as needed for understanding of the validity of the techniques presented. The major changes in this edition are a new chapter on statistical process control and reliability, several added nonparametric techniques, and 30 added problems. Annotation copyright by Book News, Inc., Portland, OR

Statistical Methods For Engineers And Scientists Third Edition

Author: Robert M. Bethea
Publisher: CRC Press
ISBN: 9780824793357
Size: 67.98 MB
Format: PDF, ePub
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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.

Statistical Methods In Engineering And Quality Assurance

Author: Peter William Meredith John
Publisher: Wiley-Interscience
ISBN:
Size: 33.77 MB
Format: PDF, Mobi
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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.

Statistical Methods For Engineering And Sciences

Author: H C Taneja
Publisher: I. K. International Pvt Ltd
ISBN: 9380026668
Size: 63.38 MB
Format: PDF, Kindle
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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.

Statistical Methods For Mineral Engineers

Author: Tim Napier-Munn
Publisher:
ISBN: 9780980362244
Size: 13.53 MB
Format: PDF, Kindle
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Written by a mineral engineer for mineral engineers, and packed with real world examples, this book de-mystifies the statistics that most of us learned at university and then forgot. It shows how simple statistical methods, most of them available in Excel, can be used to make good decisions in the face of experimental uncertainty. Written in accessible language, it explains how experimental uncertainty arises from the normal measurement errors and how statistics provides a powerful methodology to manage that uncertainty. It assumes only that the readers are numerate, can use Excel, and want to do a better professional job. It is aimed squarely at mineral engineers and allied professionals (such as chemists) on the mine site, in head office, in engineering and supply companies and in universities. Most of the examples are illustrated in Excel but Minitab is also used for advanced techniques. The book includes over 100 Excel and Minitab hints. Example spreadsheets can be downloaded from the JKMRC and JKTech websites.

Statistical Methods For Financial Engineering

Author: Bruno Remillard
Publisher: CRC Press
ISBN: 1439856958
Size: 17.28 MB
Format: PDF, ePub
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While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known cases. Statistical Methods for Financial Engineering guides current and future practitioners on implementing the most useful stochastic models used in financial engineering. After introducing properties of univariate and multivariate models for asset dynamics as well as estimation techniques, the book discusses limits of the Black-Scholes model, statistical tests to verify some of its assumptions, and the challenges of dynamic hedging in discrete time. It then covers the estimation of risk and performance measures, the foundations of spot interest rate modeling, Lévy processes and their financial applications, the properties and parameter estimation of GARCH models, and the importance of dependence models in hedge fund replication and other applications. It concludes with the topic of filtering and its financial applications. This self-contained book offers a basic presentation of stochastic models and addresses issues related to their implementation in the financial industry. Each chapter introduces powerful and practical statistical tools necessary to implement the models. The author not only shows how to estimate parameters efficiently, but he also demonstrates, whenever possible, how to test the validity of the proposed models. Throughout the text, examples using MATLAB® illustrate the application of the techniques to solve real-world financial problems. MATLAB and R programs are available on the author’s website.