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Author : Harrison M. Wadsworth
Publisher : Unknown
Page : 128 pages
File Size : 54,6 Mb
Release : 1994
Category : Electronic
ISBN : OCLC:755267975
Author : Harrison M. Wadsworth
Publisher : McGraw-Hill Companies
Page : 750 pages
File Size : 46,8 Mb
Release : 1990
Category : Mathematics
ISBN : UOM:49015001085795
Very Good,No Highlights or Markup,all pages are intact.
Author : Robert M. Bethea
Publisher : Routledge
Page : 672 pages
File Size : 44,8 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 : Robert M. Bethea,Benjamin S. Duran,Thomas L. Boullion
Publisher : Unknown
Page : 740 pages
File Size : 49,8 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 : Bilal M. Ayyub,Richard H. McCuen
Publisher : CRC Press
Page : 671 pages
File Size : 48,8 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 : Hoang Pham
Publisher : Springer Nature
Page : 1136 pages
File Size : 50,8 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.
Author : Robert Nisbet,Gary Miner,Ken Yale
Publisher : Elsevier
Page : 822 pages
File Size : 45,8 Mb
Release : 2017-11-09
Category : Mathematics
ISBN : 9780124166455
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Author : Bilal M. Ayyub,Richard H. McCuen
Publisher : CRC Press
Page : 657 pages
File Size : 55,9 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439895337
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 p
Author : Bhisham C Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 898 pages
File Size : 44,6 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 : William Navidi
Publisher : Unknown
Page : 922 pages
File Size : 52,9 Mb
Release : 2019-03-29
Category : Bootstrap (Statistics)
ISBN : 1260547884
Author : Nicholas P. Cheremisinoff,Louise Ferrante
Publisher : Routledge
Page : 117 pages
File Size : 55,9 Mb
Release : 2018-12-13
Category : Mathematics
ISBN : 9781351450973
This pocket handbook is intended as a handy reference guide for engineers, scientists and students on widely used mathematical relationships, statistical formulas and problem-solving methods. It is a compilation of useful formulas and generalised problem-solving techniques employed by practitioners in the analysis and interpretation of scientific data and problem solving. Written in short note form, it is intended to provide the user with a quick, easy reference to information with ample references provided for further readings. Illustrated examples are included for more involved problem-solving methods. Many of the techniques are well suited to adaptatation on personal computers and there are more detailed instructions included to guide and illustrate computer aided problem solving.
Author : Faith A. Morrison
Publisher : Cambridge University Press
Page : 389 pages
File Size : 54,5 Mb
Release : 2021-01-07
Category : Computers
ISBN : 9781108478359
Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.
Author : Bhisham C. Gupta,Irwin Guttman
Publisher : Wiley
Page : 0 pages
File Size : 44,8 Mb
Release : 2013-11-09
Category : Mathematics
ISBN : 1118789822
This set includes Statistics and Probability with Applications for Engineers and Scientists & Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists. 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. This book features comprehensive guidance on the design of experiments, detailed discussions on sampling distributions, and a clear presentation of nonparametric methods and simple and multiple linear regression methods. Readers will also find clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. This introductory text presents 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 : Mary Gibbons Natrella
Publisher : Courier Corporation
Page : 562 pages
File Size : 45,7 Mb
Release : 2013-03-13
Category : Mathematics
ISBN : 9780486154558
A handbook for those seeking engineering information and quantitative data for designing, developing, constructing, and testing equipment. Covers the planning of experiments, the analyzing of extreme-value data; and more. 1966 edition. Index. Includes 52 figures and 76 tables.
Author : Siegmund Brandt
Publisher : Springer Science & Business Media
Page : 523 pages
File Size : 52,5 Mb
Release : 2014-02-14
Category : Science
ISBN : 9783319037622
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.
