statistical methods for engineers

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Statistical Methods For Engineers

Author : G. Geoffrey Vining
ISBN : 9780538735186
Genre : Mathematics
File Size : 29. 14 MB
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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.

Statistical Methods For Engineers And Scientists Third Edition

Author : Robert M. Bethea
ISBN : 0824793358
Genre : Mathematics
File Size : 89. 9 MB
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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.

Handbook Of Statistical Methods For Engineers And Scientists

Author : Harrison M. Wadsworth
ISBN : 007067678X
Genre : Mathematics
File Size : 39. 42 MB
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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
ISBN : MINN:31951000479256Z
Genre : Mathematical statistics
File Size : 59. 55 MB
Format : PDF
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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 Engineering And Sciences

Author : H C Taneja
ISBN : 9789380026664
Genre : Mathematical statistics
File Size : 30. 85 MB
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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.

Numerical And Statistical Methods With Scilab For Science And Engineering

Author : Gilberto E. Urroz
ISBN : 1588983048
Genre : Literary Criticism
File Size : 49. 77 MB
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The book presents applications of the free software SCILAB ( to mathematical and statistical problems from science and engineering including ODEs, PDEs, optimization, etc. Includes examples and exercises

Statistical Methods For Physical Science

Author :
ISBN : 0080860168
Genre : Science
File Size : 84. 37 MB
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This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions. Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares Addresses time series analysis, including filtering and spectral analysis Includes simulations of physical experiments Features applications of statistics to atmospheric physics and radio astronomy Covers the increasingly important area of modern statistical computing

Statistics And Probability For Engineering Applications

Author : William DeCoursey
ISBN : 9780080489759
Genre : Mathematics
File Size : 83. 15 MB
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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

Numerical And Statistical Methods For Bioengineering

Author : Michael R. King
ISBN : 1139493426
Genre : Technology & Engineering
File Size : 88. 60 MB
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The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.

Statistical Methods For Mineral Engineers

Author : Tim Napier-Munn
ISBN : 0980362245
Genre : Mining engineering
File Size : 68. 45 MB
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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.

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