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Author : Lawrence Mann
Publisher : Unknown
Page : 175 pages
File Size : 45,9 Mb
Release : 1970
Category : Engineering
ISBN : OCLC:53021924
Author : Lawrence Mann, Jr.
Publisher : Unknown
Page : 184 pages
File Size : 53,7 Mb
Release : 1983-06-01
Category : Electronic
ISBN : 0843603178
Author : R.Russell Rhinehart
Publisher : Routledge
Page : 481 pages
File Size : 55,8 Mb
Release : 2019-09-25
Category : Mathematics
ISBN : 9781351466103
Originally published in 1991. Textbook on the understanding and application of statistical procedures to engineering problems, for practicing engineers who once had an introductory course in statistics, but haven't used the techniques in a long time.
Author : William Volk
Publisher : Unknown
Page : 364 pages
File Size : 46,6 Mb
Release : 2013-07
Category : Electronic
ISBN : 1258766493
Author : Hock-Chye Qua,Ching-Seong Tan,Kok-Cheong Wong,Jee-Hou Ho,Xin Wang,Eng-Hwa Yap,Jong-Boon Ooi,Yee-Shiuan Wong
Publisher : CRC Press
Page : 358 pages
File Size : 52,5 Mb
Release : 2015-03-25
Category : Science
ISBN : 9781482222197
Applied Engineering Failure Analysis: Theory and Practice provides a point of reference for engineering failure analysis (EFA) cases, presenting a compilation of case studies covering a 35-year period, from the 1970s to 2012. This period spans the era from the time when slide rules were used routinely for engineering calculations, and when har
Author : Jay L. Devore,Nicholas R. Farnum,Jimmy A. Doi
Publisher : Cengage Learning
Page : 0 pages
File Size : 43,8 Mb
Release : 2013-08-08
Category : Mathematics
ISBN : 113311136X
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.
Author : Douglas C. Montgomery,George C. Runger
Publisher : John Wiley & Sons
Page : 791 pages
File Size : 55,8 Mb
Release : 2010-03-22
Category : Technology & Engineering
ISBN : 9780470053041
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.
Author : Hartmut Schiefer,Felix Schiefer
Publisher : Springer Nature
Page : 139 pages
File Size : 55,8 Mb
Release : 2021-04-16
Category : Mathematics
ISBN : 9783658323974
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 : Paolo L. Gatti
Publisher : CRC Press
Page : 369 pages
File Size : 45,6 Mb
Release : 2004-11-10
Category : Architecture
ISBN : 9780203305430
Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications of statistics, bridging theory and practice. It gives a series of methods or recipes which can be applied to specific problems. This book is essential reading for practicing engineers who need a sound background knowledge of probabilistic and statistical concepts and methods of analysis for their everyday work. It is also a useful guide for graduate engineering students.
Author : Douglas C. Montgomery,George C. Runger
Publisher : Unknown
Page : 792 pages
File Size : 55,8 Mb
Release : 2009-09-01
Category : Electronic
ISBN : 8126523158
Market_Desc: Engineers and Students and Instructors of Engineering. Special Features: · Problems, examples, and exercises have all been thoroughly updated to reflect today's engineering realities.· Examples and exercises are drawn from more diverse fields such as bioengineering, environmental sciences, and computer science.· Interactive e-Text format includes data sets, select worked-out solutions, enlarged figures, and multiple links between glossary terms and text sections for quick and easy reference. About The Book: 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's packed with unique problem sets that reflect realistic situations engineers encounter in their working lives.
Author : Kristina Ropella
Publisher : Springer Nature
Page : 93 pages
File Size : 47,7 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031016202
There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issues to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data. A student who has completed this text should have sufficient vocabulary to read more advanced texts on statistics and further their knowledge about additional numerical analyses that are used in the biomedical engineering field but are beyond the scope of this text. This book is designed to supplement an undergraduate-level course in applied statistics, specifically in biomedical engineering. Practicing engineers who have not had formal instruction in statistics may also use this text as a simple, brief introduction to statistics used in biomedical engineering. The emphasis is on the application of statistics, the assumptions made in applying the statistical tests, the limitations of these elementary statistical methods, and the errors often committed in using statistical analysis. A number of examples from biomedical engineering research and industry practice are provided to assist the reader in understanding concepts and application. It is beneficial for the reader to have some background in the life sciences and physiology and to be familiar with basic biomedical instrumentation used in the clinical environment. Contents: Introduction / Collecting Data and Experimental Design / Data Summary and Descriptive Statistics / Assuming a Probability Model from the Sample Data / Statistical Inference / Linear Regression and Correlation Analysis / Power Analysis and Sample Size / Just the Beginning / Bibliography
Author : T. Agami Reddy
Publisher : Springer Science & Business Media
Page : 430 pages
File Size : 48,5 Mb
Release : 2011-08-09
Category : Technology & Engineering
ISBN : 1441996133
Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.
Author : Myke King
Publisher : John Wiley & Sons
Page : 624 pages
File Size : 40,9 Mb
Release : 2017-08-10
Category : Technology & Engineering
ISBN : 9781119383529
The first statistics guide focussing on practical application to process control design and maintenance Statistics for Process Control Engineers is the only guide to statistics written by and for process control professionals. It takes a wholly practical approach to the subject. Statistics are applied throughout the life of a process control scheme – from assessing its economic benefit, designing inferential properties, identifying dynamic models, monitoring performance and diagnosing faults. This book addresses all of these areas and more. The book begins with an overview of various statistical applications in the field of process control, followed by discussions of data characteristics, probability functions, data presentation, sample size, significance testing and commonly used mathematical functions. It then shows how to select and fit a distribution to data, before moving on to the application of regression analysis and data reconciliation. The book is extensively illustrated throughout with line drawings, tables and equations, and features numerous worked examples. In addition, two appendices include the data used in the examples and an exhaustive catalogue of statistical distributions. The data and a simple-to-use software tool are available for download. The reader can thus reproduce all of the examples and then extend the same statistical techniques to real problems. Takes a back-to-basics approach with a focus on techniques that have immediate, practical, problem-solving applications for practicing engineers, as well as engineering students Shows how to avoid the many common errors made by the industry in applying statistics to process control Describes not only the well-known statistical distributions but also demonstrates the advantages of applying the large number that are less well-known Inspires engineers to identify new applications of statistical techniques to the design and support of control schemes Provides a deeper understanding of services and products which control engineers are often tasked with assessing This book is a valuable professional resource for engineers working in the global process industry and engineering companies, as well as students of engineering. It will be of great interest to those in the oil and gas, chemical, pulp and paper, water purification, pharmaceuticals and power generation industries, as well as for design engineers, instrument engineers and process technical support.
Author : Sheldon M. Ross
Publisher : Unknown
Page : 532 pages
File Size : 43,7 Mb
Release : 1987
Category : Mathematics
ISBN : UOM:39015013026342
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 : Hoang Pham
Publisher : Springer Nature
Page : 1136 pages
File Size : 46,5 Mb
Release : 2023-04-20
Category : Technology & Engineering
ISBN : 9781447175032
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.