Basic Experimental Strategies And Data Analysis For Science And Engineering

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Basic Experimental Strategies and Data Analysis for Science and Engineering

John Lawson,John Erjavec
Basic Experimental Strategies and Data Analysis for Science and Engineering Book PDF

Author : John Lawson,John Erjavec
Publisher : CRC Press
Page : 445 pages
File Size : 55,7 Mb
Release : 2016-11-03
Category : Business & Economics
ISBN : 9781466512184

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Basic Experimental Strategies and Data Analysis for Science and Engineering by John Lawson,John Erjavec Pdf

Every technical investigation involving trial-and-error experimentation embodies a strategy for deciding what experiments to perform, when to quit, and how to interpret the data. This handbook presents several statistically derived strategies which are more efficient than any intuitive approach and will get the investigator to their goal with the fewest experiments, give the greatest degree of reliability to their conclusions, and keep the risk of overlooking something of practical importance to a minimum. Features: Provides a comprehensive desk reference on experimental design that will be useful to practitioners without extensive statistical knowledge Features a review of the necessary statistical prerequisites Presents a set of tables that allow readers to quickly access various experimental designs Includes a roadmap for where and when to use various experimental design strategies Shows compelling examples of each method discussed Illustrates how to reproduce results using several popular software packages on a companion web site Following the outlines and examples in this book should quickly allow a working professional or student to select the appropriate experimental design for a research problem at hand, follow the design to conduct the experiments, and analyze and interpret the resulting data. John Lawson and John Erjavec have a combined 25 years of industrial experience and over 40 years of academic experience. They have taught this material to numerous practicing engineers and scientists as well as undergraduate and graduate students.

Experimental Methods for Science and Engineering Students

Les Kirkup
Experimental Methods for Science and Engineering Students Book PDF

Author : Les Kirkup
Publisher : Cambridge University Press
Page : 239 pages
File Size : 42,5 Mb
Release : 2019-09-05
Category : Science
ISBN : 9781108418461

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Experimental Methods for Science and Engineering Students by Les Kirkup Pdf

An overview of experimental methods providing practical advice to students seeking guidance with their experimental work.

Data Analysis for Scientists and Engineers

Edward L. Robinson
Data Analysis for Scientists and Engineers Book PDF

Author : Edward L. Robinson
Publisher : Princeton University Press
Page : 408 pages
File Size : 43,9 Mb
Release : 2016-09-20
Category : Science
ISBN : 9781400883066

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Data Analysis for Scientists and Engineers by Edward L. Robinson Pdf

Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences and engineering. In-depth discussion of data analysis for scientists and engineers Coverage of both frequentist and Bayesian approaches to data analysis Extensive look at analysis techniques for time-series data and images Detailed exploration of linear and nonlinear modeling of data Emphasis on error analysis Instructor's manual (available only to professors)

Data Analysis

Siegmund Brandt
Data Analysis Book PDF

Author : Siegmund Brandt
Publisher : Springer
Page : 523 pages
File Size : 55,7 Mb
Release : 2017-04-30
Category : Science
ISBN : 3319347799

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Data Analysis by Siegmund Brandt Pdf

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.

Empirical Modeling and Data Analysis for Engineers and Applied Scientists

Scott A. Pardo
Empirical Modeling and Data Analysis for Engineers and Applied Scientists Book PDF

Author : Scott A. Pardo
Publisher : Springer
Page : 247 pages
File Size : 41,7 Mb
Release : 2016-07-19
Category : Mathematics
ISBN : 9783319327686

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Empirical Modeling and Data Analysis for Engineers and Applied Scientists by Scott A. Pardo Pdf

This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes. Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models. Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation) Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process. Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter. The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods.

Statistical Design and Analysis of Experiments

Robert L. Mason,Richard F. Gunst,James L. Hess
Statistical Design and Analysis of Experiments Book PDF

Author : Robert L. Mason,Richard F. Gunst,James L. Hess
Publisher : Wiley-Interscience
Page : 760 pages
File Size : 48,8 Mb
Release : 2003-02-14
Category : Mathematics
ISBN : 0471372161

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Statistical Design and Analysis of Experiments by Robert L. Mason,Richard F. Gunst,James L. Hess Pdf

Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results. Features numerous examples using actual engineering and scientific studies. Presents statistics as an integral component of experimentation from the planning stage to the presentation of the conclusions. Deep and concentrated experimental design coverage, with equivalent but separate emphasis on the analysis of data from the various designs. Topics can be implemented by practitioners and do not require a high level of training in statistics. New edition includes new and updated material and computer output.

Planning, Construction, and Statistical Analysis of Comparative Experiments

Francis G. Giesbrecht,Marcia L. Gumpertz
Planning Construction and Statistical Analysis of Comparative Experiments Book PDF

Author : Francis G. Giesbrecht,Marcia L. Gumpertz
Publisher : John Wiley & Sons
Page : 693 pages
File Size : 47,7 Mb
Release : 2011-09-26
Category : Mathematics
ISBN : 9780471476481

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Planning, Construction, and Statistical Analysis of Comparative Experiments by Francis G. Giesbrecht,Marcia L. Gumpertz Pdf

A valuable guide to conducting experiments and analyzing dataacross a wide range of applications Experimental design is an important component of the scientificmethod. This book provides guidance on planning efficientinvestigations. It compiles designs for a wide range ofexperimental situations not previously found in accessible form.Focusing on applications in the physical, engineering, biological,and social sciences, Planning, Construction, and StatisticalAnalysis of Comparative Experiments is a valuable guide todesigning experiments and correctly analyzing and interpreting theresults. The authors draw on their years of experience in theclassroom and as statistical consultants to research programs oncampus, in government, and in industry. The object is always tostrike the right balance between mathematical necessities andpractical constraints. Serving both as a textbook for students of intermediatestatistics and a hands-on reference for active researchers, thetext includes: A wide range of applications, including agricultural sciences,animal and biomedical sciences, and industrial engineeringstudies General formulas for estimation and hypothesis testing,presented in a unified and simplified manner Guidelines for evaluating the power and efficiency of designsthat are not perfectly balanced New developments in the design of fractional factorials withnon-prime numbers of levels in mixed-level fractionalfactorials Detailed coverage on the construction of plans and therelationship among categories of designs Thorough coverage of balanced, lattice, cyclic, and alphadesigns Strategies for sequences of fractional factorials Data sets and SAS® code on a companion web site An ideal handbook for the investigator planning a researchprogram, the text comes complete with detailed plans of experimentsand alternative approaches for added flexibility.

Measurement and Data Analysis for Engineering and Science, Second Edition

Patrick F. Dunn
Measurement and Data Analysis for Engineering and Science Second Edition Book PDF

Author : Patrick F. Dunn
Publisher : CRC Press
Page : 510 pages
File Size : 42,6 Mb
Release : 2010-01-05
Category : Technology & Engineering
ISBN : 9781439825693

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Measurement and Data Analysis for Engineering and Science, Second Edition by Patrick F. Dunn Pdf

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material. New to the Second Edition Order of chapters now reflects the sequence of topics usually included in an undergraduate course Asterisked sections denote material not typically covered formally during lecture in an introductory undergraduate course More than 150 new problems, bringing the total to over 420 problems Supplementary website that provides unit conversions, learning objectives, review crossword puzzles and solutions, differential equation derivations, laboratory exercise descriptions, MATLAB® sidebars with M-files, and homework data files Thorough and up to date, this edition continues to help students gain a fundamental understanding of the tools of experimentation. It discusses basic concepts related to experiments, measurement system components and responses, data analysis, and effective communication of experimental findings. Ancillary materials for instructors are available on a CD-ROM and a solutions manual is available for qualifying instructors. More data available on www.nd.edu/~pdunn/www.text/measurements.html

Statistics for Experimenters

George E. P. Box,William G. Hunter,J. Stuart Hunter
Statistics for Experimenters Book PDF

Author : George E. P. Box,William G. Hunter,J. Stuart Hunter
Publisher : Wiley-Interscience
Page : 680 pages
File Size : 41,8 Mb
Release : 1978-07-06
Category : History
ISBN : UOM:39015039104321

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Statistics for Experimenters by George E. P. Box,William G. Hunter,J. Stuart Hunter Pdf

Introduces the philosophy of experimentation and the part that statistics plays in experimentation. Emphasizes the need to develop a capability for statistical thinking by using examples drawn from actual case studies.

Analysis and Presentation of Experimental Results

Costas Christodoulides,George Christodoulides
Analysis and Presentation of Experimental Results Book PDF

Author : Costas Christodoulides,George Christodoulides
Publisher : Springer
Page : 526 pages
File Size : 50,5 Mb
Release : 2017-06-14
Category : Technology & Engineering
ISBN : 9783319533452

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Analysis and Presentation of Experimental Results by Costas Christodoulides,George Christodoulides Pdf

This book is intended as a guide to the analysis and presentation of experimental results. It develops various techniques for the numerical processing of experimental data, using basic statistical methods and the theory of errors. After presenting basic theoretical concepts, the book describes the methods by which the results can be presented, both numerically and graphically. The book is divided into three parts, of roughly equal length, addressing the theory, the analysis of data, and the presentation of results. Examples are given and problems are solved using the Excel, Origin, Python and R software packages. In addition, programs in all four languages are made available to readers, allowing them to use them in analyzing and presenting the results of their own experiments. Subjects are treated at a level appropriate for undergraduate students in the natural sciences, but this book should also appeal to anyone whose work involves dealing with experimental results.

The Systematic Experiment

J. C. Gibbings,A. G. Baker
The Systematic Experiment Book PDF

Author : J. C. Gibbings,A. G. Baker
Publisher : CUP Archive
Page : 374 pages
File Size : 41,8 Mb
Release : 1986-09-18
Category : Philosophy
ISBN : 0521312175

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The Systematic Experiment by J. C. Gibbings,A. G. Baker Pdf

This book explains how to plan, execute, analyse and write up an experiment. Experimentation is an essential part of science and engineering, being both the basis of discovery in science and an integral part of engineering development. The authors' aim is to provide instruction in how to perform a systematic experiment from its conception and design through to the communication of results. The text opens by laying the ground rules for the planning of an experiment, moving on to a description of measurement techniques and statistical analysis of results. An important feature of the book is the inclusion of a chapter on the interfacing of experimental equipment to microcomputers.

Measurement and Data Analysis for Engineering and Science

Patrick F. Dunn
Measurement and Data Analysis for Engineering and Science Book PDF

Author : Patrick F. Dunn
Publisher : McGraw-Hill Science Engineering
Page : 540 pages
File Size : 44,7 Mb
Release : 2005
Category : Technology & Engineering
ISBN : 0072825383

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Measurement and Data Analysis for Engineering and Science by Patrick F. Dunn Pdf

*******Text is available as of 5/21/2004!******** Dunn's Measurement and Data Analysis for Engineering & Science places emphasis on the process of experimentation, rather than the products of experimentation. Dunn’s objective is to expose undergraduates and experimentalists to the essential tools of experimentation, to the scientific detail behind these tools, and to the role of experimentation in the scientific process. Guided by worked examples, MATLAB sidebars, and laboratory exercises, the reader builds a strong working knowledge while moving progressively through the text. The first three chapters of the text cover the basics--experimental methods, units & significant figures, technical communications and basic electronics. Hardware issues are then presented, with a focus on measurement systems, and calibration & response. The final chapters deal with data analysis, with an overview of basic probability & statistics, uncertainty analysis, signal characteristics, and digital signal analysis. Following the text chapters, a full laboratory manual, with an introduction and twelve lab experiments, is included. This gives users a chance to put their basic skills to work in actual engineering experiments, which are taken from a variety of engineering subject areas. Throughout the book computer techniques are discussed, and specific MATLAB applications are included, for problem modeling, exploration and solution. MATLAB "sidebars" are used to present MATLAB, and associated M-files are provided on the Web site.

Experimental Uncertainty Analysis: A Textbook for Science and Engineering Students

Supreet Singh Bahga
Experimental Uncertainty Analysis A Textbook for Science and Engineering Students Book PDF

Author : Supreet Singh Bahga
Publisher : Supreet Singh Bahga
Page : 186 pages
File Size : 50,8 Mb
Release : 2021-07-06
Category : Technology & Engineering
ISBN : 9781636402321

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Experimental Uncertainty Analysis: A Textbook for Science and Engineering Students by Supreet Singh Bahga Pdf

Uncertainties are inevitable in any experimental measurement. Therefore, it is essential for science and engineering graduates to design and develop reliable experiments and estimate the uncertainty in the measurements. This book describes the methods and application of uncertainty analysis during the planning, data analysis, and reporting stages of an experiment. This book is aimed at postgraduate and advanced undergraduate students of various branches of science and engineering. The book teaches methods for estimating random and systematic uncertainties and combining them to determine the overall uncertainty in a measurement. In addition, the method for propagating measurement uncertainties in the calculated result is discussed. The book also discusses methods of reducing the uncertainties through proper instrumentation, data acquisition, and experiment planning. This book provides detailed background and assumptions underlying the uncertainty analysis techniques for the reader to understand their applicability. Various solved examples are provided to demonstrate the application of the uncertainty analysis techniques. The exercises at the end of the chapters have been chosen carefully to reinforce the concepts discussed in the text.

Introductory Statistics for Engineering Experimentation

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

Author : Peter R. Nelson,Karen A.F. Copeland,Marie Coffin
Publisher : Elsevier
Page : 527 pages
File Size : 41,7 Mb
Release : 2003-09-25
Category : Mathematics
ISBN : 9780080491653

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

The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs. Provides the statistical design and analysis of engineering experiments & problems Presents a student-friendly approach through providing statistical models for advanced learning techniques Covers essential and useful statistical methods used by engineers and scientists

An Introduction to Acceptance Sampling and SPC with R

John Lawson
An Introduction to Acceptance Sampling and SPC with R Book PDF

Author : John Lawson
Publisher : CRC Press
Page : 299 pages
File Size : 42,7 Mb
Release : 2021-02-25
Category : Technology & Engineering
ISBN : 9781000336559

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An Introduction to Acceptance Sampling and SPC with R by John Lawson Pdf

An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and improving quality. Topics covered include acceptance sampling; Shewhart control charts for Phase I studies; graphical and statistical tools for discovering and eliminating the cause of out-of-control-conditions; Cusum and EWMA control charts for Phase II process monitoring; and the design and analysis of experiments for process troubleshooting and discovering ways to improve process output. Origins of statistical quality control and the technical topics presented in the remainder of the book are those recommended in the ANSI/ASQ/ISO guidelines and standards for industry. The final chapter ties everything together by discussing modern management philosophies that encourage the use of the technical methods presented earlier. In the modern world sampling plans and the statistical calculations used in statistical quality control are done with the help of computers. As an open source high-level programming language with flexible graphical output options, R runs on Windows, Mac and Linux operating systems, and has add-on packages that equal or exceed the capability of commercial software for statistical methods used in quality control. In this book, we will focus on several R packages. In addition to demonstrating how to use R for acceptance sampling and control charts, this book will concentrate on how the use of these specific tools can lead to quality improvements both within a company and within their supplier companies. This would be a suitable book for a one-semester undergraduate course emphasizing statistical quality control for engineering majors (such as manufacturing engineering or industrial engineering), or a supplemental text for a graduate engineering course that included quality control topics.