Statistics In Engineering

Author : Jim Morrison
Publisher : John Wiley & Sons
Page : 192 pages
File Size : 53,5 Mb
Release : 2009-06-15
Category : Mathematics
ISBN : 0470746432

Get Book

Statistics for Engineers by Jim Morrison Pdf

This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated. This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry. Inside, you will find coverage on: the nature of variability, describing the use of formulae to pin down sources of variation; engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product; production, discussing the use of control charts, and; management and training, including directing and controlling the quality function. The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context. Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.

Author : Andrew Metcalfe,David Green,Tony Greenfield,Mayhayaudin Mansor,Andrew Smith,Jonathan Tuke
Publisher : CRC Press
Page : 619 pages
File Size : 47,9 Mb
Release : 2019-01-25
Category : Mathematics
ISBN : 9781351643504

Get Book

Statistics in Engineering by Andrew Metcalfe,David Green,Tony Greenfield,Mayhayaudin Mansor,Andrew Smith,Jonathan Tuke Pdf

Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MATLAB and R covers the fundamentals of probability and statistics and explains how to use these basic techniques to estimate and model random variation in the context of engineering analysis and design in all types of environments. The first eight chapters cover probability and probability distributions, graphical displays of data and descriptive statistics, combinations of random variables and propagation of error, statistical inference, bivariate distributions and correlation, linear regression on a single predictor variable, and the measurement error model. This leads to chapters including multiple regression; comparisons of several means and split-plot designs together with analysis of variance; probability models; and sampling strategies. Distinctive features include: All examples based on work in industry, consulting to industry, and research for industry Examples and case studies include all engineering disciplines Emphasis on probabilistic modeling including decision trees, Markov chains and processes, and structure functions Intuitive explanations are followed by succinct mathematical justifications Emphasis on random number generation that is used for stochastic simulations of engineering systems, demonstration of key concepts, and implementation of bootstrap methods for inference Use of MATLAB and the open source software R, both of which have an extensive range of statistical functions for standard analyses and also enable programing of specific applications Use of multiple regression for times series models and analysis of factorial and central composite designs Inclusion of topics such as Weibull analysis of failure times and split-plot designs that are commonly used in industry but are not usually included in introductory textbooks Experiments designed to show fundamental concepts that have been tested with large classes working in small groups Website with additional materials that is regularly updated Andrew Metcalfe, David Green, Andrew Smith, and Jonathan Tuke have taught probability and statistics to students of engineering at the University of Adelaide for many years and have substantial industry experience. Their current research includes applications to water resources engineering, mining, and telecommunications. Mahayaudin Mansor worked in banking and insurance before teaching statistics and business mathematics at the Universiti Tun Abdul Razak Malaysia and is currently a researcher specializing in data analytics and quantitative research in the Health Economics and Social Policy Research Group at the Australian Centre for Precision Health, University of South Australia. Tony Greenfield, formerly Head of Process Computing and Statistics at the British Iron and Steel Research Association, is a statistical consultant. He has been awarded the Chambers Medal for outstanding services to the Royal Statistical Society; the George Box Medal by the European Network for Business and Industrial Statistics for Outstanding Contributions to Industrial Statistics; and the William G. Hunter Award by the American Society for Quality.

Author : Hartmut Schiefer,Felix Schiefer
Publisher : Springer Nature
Page : 139 pages
File Size : 41,7 Mb
Release : 2021-04-16
Category : Mathematics
ISBN : 9783658323974

Get Book

Statistics for Engineers by Hartmut Schiefer,Felix Schiefer Pdf

This book describes how statistical methods can be effectively applied in the work of an engineer in terms that can be readily understood. Application of these methods enables the effort involved in experiments to be reduced, the results of these experiments to be fully evaluated, and statistically sound statements to be made as a result. Products can be developed more efficiently and manufactured more cost-effectively, not to mention with greater process reliability. The overarching aim is to save time, money, and materials. From the examples provided, the nature of the practical application can be clearly grasped in each case. This book is a translation of the original German 1st edition Statistik für Ingenieure by Hartmut Schiefer and Felix Schiefer, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2018. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). The present version has been revised technically and linguistically by the authors in collaboration with a professional translator. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

Author : William DeCoursey
Publisher : Elsevier
Page : 396 pages
File Size : 41,7 Mb
Release : 2003-05-14
Category : Mathematics
ISBN : 9780080489759

Get Book

Statistics and Probability for Engineering Applications by William DeCoursey Pdf

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

Author : Hoang Pham
Publisher : Springer Nature
Page : 1136 pages
File Size : 40,8 Mb
Release : 2023-04-20
Category : Technology & Engineering
ISBN : 9781447175032

Get Book

Springer Handbook of Engineering Statistics by Hoang Pham Pdf

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.

Author : Peter R. Nelson,Marie Coffin,Karen A.F. Copeland
Publisher : Academic Press
Page : 528 pages
File Size : 44,8 Mb
Release : 2003-08-14
Category : Mathematics
ISBN : 9780125154239

Get Book

Introductory Statistics for Engineering Experimentation by Peter R. Nelson,Marie Coffin,Karen A.F. Copeland Pdf

A concise treatment for undergraduate and graduate students who need a guide to statistics that focuses specifically on engineering.

Author : Douglas C. Montgomery,George C. Runger,Norma F. Hubele
Publisher : Wiley Global Education
Page : 546 pages
File Size : 49,5 Mb
Release : 2011-08-24
Category : Technology & Engineering
ISBN : 9781118137994

Get Book

Engineering Statistics by Douglas C. Montgomery,George C. Runger,Norma F. Hubele Pdf

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. Developed with sponsorship from the National Science Foundation, this revision incorporates many insights from the authors teaching experience along with feedback from numerous adopters of previous editions.

Author : Daniel Schiff,Ralph B. D'Agostino
Publisher : John Wiley & Sons
Page : 330 pages
File Size : 44,5 Mb
Release : 1995-12-12
Category : Technology & Engineering
ISBN : 0471547689

Get Book

Practical Engineering Statistics by Daniel Schiff,Ralph B. D'Agostino Pdf

PRACTICAL ENGINEERING STATISTICS This lucidly written book offers engineers and advanced studentsall the essential statistical methods and techniques used inday-to-day engineering work. Without unnecessary digressions intoformal proofs or derivations, Practical Engineering Statisticsshows how to select the appropriate statistical method for aspecific task and then how to apply it correctly and confidently.Clear explanations supported by real-world examples lead the readerstep-by-step through each procedure. Topics covered include productdesign and development; estimations of the mean value andvariability of measured data; comparison of processes or products;the relationships between variables; and more. With its emphasis on practical use and its full range ofengineering applications, Practical Engineering Statistics servesas an indispensable, time-saving reference for all engineersworking in design, reliability, assurance, scheduling, andmanufacturing. PRACTICAL ENGINEERING STATISTICS While engineers are frequently involved in projects that requirethe application of statistical methods to analysis, prediction, andplanning, their background in statistics is often insufficient tothe task. In many cases the engineer has had little training instatistics beyond the concepts of the mean, the standard deviation,the median, and the quartile. Even those who have had one or morecourses in statistics will, at times, encounter problems which arebeyond their capacity to solve or understand. Practical Engineering Statistics is designed to give engineers theknowledge to select the statistical approach that is mostappropriate to the problem at hand and the skills to confidentlyapply this approach to specific cases. It provides the engineerwith the statistical tools needed to perform the job effectively,whether it is pro-duct design and development, estimation of themean value and variability of measured data, comparison ofprocesses or products, or the relationship between variables. Its authors bring two different areas of expertise to this uniquebook: statistics and engineering physics. In Practical EngineeringStatistics their collaboration has produced a book that clearlyleads engineers step-by-step through each procedure, withouttime-consuming and unnecessary discussions of proofs andderivations. Statistical procedures are discussed and explained indetail and demonstrated through real-world sample problems, withcorrect answers always provided. Readers learn how to determinewhich data represent true observations and which, through humanerror or flawed data, are false observations. Complex problems are presented with computer printouts of thedatabase, intermediate steps, and results. Numerous illustrationsand tables of all commonly used distributions enhance theusefulness of this invaluable book. Virtually all engineers and advanced students, especially those inmechanical, civil, electrical, aerospace, and chemical engineering,Practical Engineering Statistics is an indispensable reference thatwill give them the tools to do the statistical part of their workquickly and accurately.

Author : Sheldon M. Ross
Publisher : Unknown
Page : 532 pages
File Size : 53,5 Mb
Release : 1987
Category : Mathematics
ISBN : UOM:39015013026342

Get Book

Introduction to Probability and Statistics for Engineers and Scientists by Sheldon M. Ross Pdf

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.

Author : Milan Holický
Publisher : Springer Science & Business Media
Page : 181 pages
File Size : 55,7 Mb
Release : 2013-08-04
Category : Mathematics
ISBN : 9783642383007

Get Book

Introduction to Probability and Statistics for Engineers by Milan Holický Pdf

The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.

Author : James A. Middleton
Publisher : CRC Press
Page : 608 pages
File Size : 52,7 Mb
Release : 2021-11-25
Category : Mathematics
ISBN : 9781000469615

Get Book

Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers by James A. Middleton Pdf

This book develops foundational concepts in probability and statistics with primary applications in mechanical and aerospace engineering. It develops the mindset a data analyst must have to interpret an ill-defined problem, operationalize it, collect or interpret data, and use this evidence to make decisions that can improve the quality of engineered products and systems. It was designed utilizing the latest research in statistics learning and in engagement teaching practices The author’s focus is on developing students’ conceptual understanding of statistical theory with the goal of effective design and conduct of experiments. Engineering statistics is primarily a form of data modeling. Emphasis is placed on modelling variation in observations, characterizing its distribution, and making inferences with regards to quality assurance and control. Fitting multivariate models, experimental design and hypothesis testing are all critical skills developed. All topics are developed utilizing real data from engineering projects, simulations, and laboratory experiences. In other words, we begin with data, we end with models. The key features are: Realistic contexts situating the learning of the statistics in actual engineering practice. A balance of rigorous mathematics, conceptual scaffolding, and real, messy data, to ensure that students learn the important concepts and can apply them in practice. The consistency of text, lecture notes, data sets, and simulations yield a coherent set of instructional resources for the instructor and a coherent set of learning experiences for the students. MatLab is used as a computational tool. Other tools are easily substituted. Table of Contents 1. Introduction 2. Dealing with Variation 3. Types of Data 4. Introduction to Probability 5. Sampling Distribution of the Mean 6. The Ten Building Blocks of Experimental Design 7. Sampling Distribution of the Proportion 8. Hypothesis Testing Using the 1-sample Statistics 9. 2-sample Statistics 10. Simple Linear Regression 11. The General Linear Model: Regression with Multiple Predictors 12. The GLM with Categorical Independent Variables: The Analysis of Variance 13. The General Linear Model: Randomized Block Factorial ANOVA 14. Factorial Analysis of Variance 15. The Bootstrap 16. Data Reduction: Principal Components Analysis Index Author Biography James A. Middleton is Professor of Mechanical and Aerospace Engineering and former Director of the Center for Research on Education in Science, Mathematics, Engineering, and Technology at Arizona State University. Previously, he held the Elmhurst Energy Chair in STEM education at the University of Birmingham in the UK. He received his Ph.D. from the University of Wisconsin-Madison. He has been Senior co-Chair of the Special Interest Group for Mathematics Education in the American Educational Research Association, and as Chair of the National Council of Teachers of Mathematics’ Research Committee. He has been a consultant for the College Board, the Rand Corporation, the National Academies, the American Statistical Association, the IEEE, and numerous school systems around the United States, the UK, and Australia. He has garnered over $30 million in grants to study and improve mathematics education in urban schools.

Author : William W. Hines,Douglas C. Montgomery
Publisher : John Wiley & Sons
Page : 772 pages
File Size : 49,8 Mb
Release : 1980
Category : Engineering
ISBN : UOM:39015036241381

Get Book

Probability and Statistics in Engineering and Management Science by William W. Hines,Douglas C. Montgomery Pdf

* End-of-chapter summaries reinforce the main topics and goals of the chapter.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 50,9 Mb
Release : 2017
Category : Electronic
ISBN : 1337762024

Get Book

Probability and Statistics for Engineering and the Sciences + Enhanced Webassign Access by Anonim Pdf

Author : Richard L. Scheaffer,James T. McClave
Publisher : Duxbury Resource Center
Page : 778 pages
File Size : 49,5 Mb
Release : 1995
Category : Business & Economics
ISBN : UVA:X004260470

Get Book

Probability and Statistics for Engineers by Richard L. Scheaffer,James T. McClave Pdf

Designed to teach engineers to think statistically so that data can be collected and used intelligently in solving real problems, this text is intended for calculus-based, one-semester introduction to engineering statistics courses. Although traditional topics are covered, this edition takes a modern, data-oriented, problem-solving, process-improvement view of engineering statistics. The emphasis is on collecting good data through sample surveys and experiments and on applying it to real problems.

Author : Andrew Metcalfe
Publisher : CRC Press
Page : 470 pages
File Size : 43,7 Mb
Release : 1994-07-01
Category : Mathematics
ISBN : 0412492202

Get Book

Statistics in Engineering by Andrew Metcalfe Pdf

Statistics in Engineering provides a succinct introduction to statistics. The ideas are introduced with examples set in their practical context. The underlying mathematics are given in an informal way and are included for those who find that mathematical justification helps their understanding of concepts, and for anyone who needs to take the subject further The author indicates sections that can be omitted without any loss of continuity. The book is kept as simple as possible, and assumes only some familiarity with elementary calculus and matrices. The first seven chapters of the book cover a typical 40-hour statistics module taken by engineering or science students who are beginning the subject. This includes the basic ideas, relationships between variables, and the design and analysis of experiments. The final chapter looks at some important engineering situations that are not fully covered by the methods of the preceding chapters.