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Author : Adam M. Neville
Publisher : Unknown
Page : 325 pages
File Size : 47,9 Mb
Release : 1970
Category : Engineering
ISBN : OCLC:52014659
Author : Adam Matthew Neville,John B. Kennedy
Publisher : Unknown
Page : 325 pages
File Size : 41,8 Mb
Release : 1968
Category : Engineering
ISBN : OCLC:264027872
Author : Robert M. Bethea,Benjamin S. Duran,Thomas L. Boullion
Publisher : Unknown
Page : 740 pages
File Size : 46,8 Mb
Release : 1985
Category : Technology & Engineering
ISBN : UOM:39015047952349
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
Author : Robert M. Bethea
Publisher : Routledge
Page : 672 pages
File Size : 44,9 Mb
Release : 2018-04-20
Category : Mathematics
ISBN : 9781351414371
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.
Author : Adam M. Neville
Publisher : Unknown
Page : 325 pages
File Size : 51,7 Mb
Release : 1970
Category : Engineering
ISBN : OCLC:624332213
Author : Harrison M. Wadsworth
Publisher : McGraw Hill Professional
Page : 816 pages
File Size : 55,6 Mb
Release : 1998
Category : Mathematics
ISBN : 007067678X
Statistical methods are made easier for engineers and scientists in this highly respected interdisciplinary reference. Covering a broad spectrum of statistical methods used at intermediate and advanced levels, the second edition features new sections on additional graphical tools, acceptance sampling, and the uses of new software. Matching how-to procedures to specific disciplines simplifies the application. Coverage of each statistical principle is followed by an example of its application. Users gain vital guidance on survey sampling, computer simulation, design and analysis of experiments, and more. Guidelines for organizing and managing a statistical consulting firm are included.
Author : Bhisham C Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 898 pages
File Size : 47,8 Mb
Release : 2014-03-06
Category : Mathematics
ISBN : 9781118522202
Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
Author : Harrison M. Wadsworth
Publisher : McGraw-Hill Companies
Page : 750 pages
File Size : 50,8 Mb
Release : 1990
Category : Mathematics
ISBN : UOM:49015001085795
Very Good,No Highlights or Markup,all pages are intact.
Author : Bilal M. Ayyub,Richard H. McCuen
Publisher : CRC Press
Page : 671 pages
File Size : 50,7 Mb
Release : 2011-06-17
Category : Business & Economics
ISBN : 9781439809525
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential. Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods. Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.
Author : Jim Morrison
Publisher : John Wiley & Sons
Page : 197 pages
File Size : 44,7 Mb
Release : 2009-07-20
Category : Mathematics
ISBN : 9780470745564
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 : Harrison M. Wadsworth
Publisher : Unknown
Page : 128 pages
File Size : 49,8 Mb
Release : 1994
Category : Electronic
ISBN : OCLC:755267975
Author : J. Wesley Barnes
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 168 pages
File Size : 50,8 Mb
Release : 1994
Category : Mathematics
ISBN : UOM:39015032985593
This text covers topics such as nonparametric statistics, statistical quality control, multivariate regression analysis and operating characteristic curves. The accompanying IBM software gives a complete treatment of statistically valid sample sizes in all tests of hypotheses addressed.
Author : Kristina M. Ropella
Publisher : Morgan & Claypool Publishers
Page : 102 pages
File Size : 49,5 Mb
Release : 2007-12-01
Category : Technology & Engineering
ISBN : 9781598291971
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 : William M. Mendenhall,Terry L. Sincich,Nancy S. Boudreau
Publisher : CRC Press
Page : 458 pages
File Size : 53,6 Mb
Release : 2016-11-17
Category : Mathematics
ISBN : 9781498731850
A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.
Author : John B. Kennedy,Adam M. Neville
Publisher : HarperCollins Publishers
Page : 648 pages
File Size : 42,6 Mb
Release : 1986
Category : Mathematics
ISBN : STANFORD:36105030591718
