Industrial Statistics

Industrial Statistics
Author: Anand M. Joglekar
Publisher: John Wiley & Sons
Total Pages: 283
Release: 2010-04-30
Genre: Science
ISBN: 0470584122

HELPS YOU FULLY LEVERAGE STATISTICAL METHODS TO IMPROVE INDUSTRIAL PERFORMANCE Industrial Statistics guides you through ten practical statistical methods that have broad applications in many different industries for enhancing research, product design, process design, validation, manufacturing, and continuous improvement. As you progress through the book, you'll discover some valuable methods that are currently underutilized in industry as well as other methods that are often not used correctly. With twenty-five years of teaching and consulting experience, author Anand Joglekar has helped a diverse group of companies reduce costs, accelerate product development, and improve operations through the effective implementation of statistical methods. Based on his experience working with both clients and students, Dr. Joglekar focuses on real-world problem-solving. For each statistical method, the book: Presents the most important underlying concepts clearly and succinctly Minimizes mathematical details that can be delegated to a computer Illustrates applications with numerous practical examples Offers a "Questions to Ask" section at the end of each chapter to assist you with implementation The last chapter consists of 100 practical questions followed by their answers. If you're already familiar with statistical methods, you may want to take the test first to determine which methods to focus on. By helping readers fully leverage statistical methods to improve industrial performance, this book becomes an ideal reference and self-study guide for scientists, engineers, managers and other technical professionals across a wide range of industries. In addition, its clear explanations and examples make it highly suited as a textbook for undergraduate and graduate courses in statistics.

Industrial Statistics

Industrial Statistics
Author: Christos P. Kitsos
Publisher: Springer Science & Business Media
Total Pages: 298
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642592686

Devoted to the growing impact of statistical methodology and statistical computing in industry the aim of this book is to link the three components: Statistics - industry - computers. Different areas of industrial statistics are presented by a number of excellent contributions. The following topics are covered: Quality control, engineering and monitoring; reliability and failure time analysis, experimental design; repeated measurements - multiple inference; pharma - statistics; computing, imaging and perception. This book concentrates on the interface between statistical needs in industry and statistical methods developed by statisticians and engineers.

Applications of Statistics to Industrial Experimentation

Applications of Statistics to Industrial Experimentation
Author: Cuthbert Daniel
Publisher: John Wiley & Sons
Total Pages: 321
Release: 2009-09-25
Genre: Mathematics
ISBN: 0470317175

Other volumes in the Wiley Series in Probability and MathematicalStatistics, Ralph A. Bradley, J. Stuart Hunter, David G. Kendall,& Geoffrey S. Watson, Advisory Editors Statistical Models inApplied Science Karl V. Bury Of direct interest to engineers andapplied scientists, this book presents general principles ofstatistics and specific distribution methods and models. Prominentdistribution properties and methods that are useful over a widerange of applications are covered in detail. The strengths andweaknesses of the distributional models are fully described, givingthe reader a firm, intuitive approach to the selection of the modelmost appropriate to the problem at hand. 1975 656 pp. FittingEquations To Data Computer Analysis of Multifactor Data forScientists and Engineers Cuthbert Daniel & Fred S. Wood Withthe assistance of John W. Gorman The purpose of this book is tohelp the serious data analyst, scientist, or engineer with acomputer to: recognize the strengths and limitations of his data;test the assumptions implicit in the least squares methods used tofit the data; select appropriate forms of the variables; judgewhich combinations of variables are most influential; and state theconditions under which the fitted equations are applicable.Throughout, mathematics is kept at the level of college algebra.1971 342 pp. Methods for Statistical Analysis of Reliability AndLife Data Nancy R. Mann, Ray E. Schafer & Nozer D. SingpurwallaThis book introduces failure models commonly used in reliabilityanalysis, and presents the most useful methods for analyzing thelife data of these models. Highlights include: material onaccelerated life testing; a comprehensive treatment of estimationand hypothesis testing; a critical survey of methods forsystem-reliability confidence bonds; and methods for simulation oflife data and for testing fit. 1974 564 pp.

Modern Industrial Statistics

Modern Industrial Statistics
Author: Ron S. Kenett
Publisher: John Wiley & Sons
Total Pages: 884
Release: 2021-05-10
Genre: Mathematics
ISBN: 1119714907

Modern Industrial Statistics The new edition of the prime reference on the tools of statistics used in industry and services, integrating theoretical, practical, and computer-based approaches Modern Industrial Statistics is a leading reference and guide to the statistics tools widely used in industry and services. Designed to help professionals and students easily access relevant theoretical and practical information in a single volume, this standard resource employs a computer-intensive approach to industrial statistics and provides numerous examples and procedures in the popular R language and for MINITAB and JMP statistical analysis software. Divided into two parts, the text covers the principles of statistical thinking and analysis, bootstrapping, predictive analytics, Bayesian inference, time series analysis, acceptance sampling, statistical process control, design and analysis of experiments, simulation and computer experiments, and reliability and survival analysis. Part A, on computer age statistical analysis, can be used in general courses on analytics and statistics. Part B is focused on industrial statistics applications. The fully revised third edition covers the latest techniques in R, MINITAB and JMP, and features brand-new coverage of time series analysis, predictive analytics and Bayesian inference. New and expanded simulation activities, examples, and case studies—drawn from the electronics, metal work, pharmaceutical, and financial industries—are complemented by additional computer and modeling methods. Helping readers develop skills for modeling data and designing experiments, this comprehensive volume: Explains the use of computer-based methods such as bootstrapping and data visualization Covers nonstandard techniques and applications of industrial statistical process control (SPC) charts Contains numerous problems, exercises, and data sets representing real-life case studies of statistical work in various business and industry settings Includes access to a companion website that contains an introduction to R, sample R code, csv files of all data sets, JMP add-ins, and downloadable appendices Provides an author-created R package, mistat, that includes all data sets and statistical analysis applications used in the book Part of the acclaimed Statistics in Practice series, Modern Industrial Statistics with Applications in R, MINITAB, and JMP, Third Edition, is the perfect textbook for advanced undergraduate and postgraduate courses in the areas of industrial statistics, quality and reliability engineering, and an important reference for industrial statisticians, researchers, and practitioners in related fields. The mistat R-package is available from the R CRAN repository.

International Yearbook of Industrial Statistics 2013

International Yearbook of Industrial Statistics 2013
Author: United Nations Industrial Development Organization
Publisher: Edward Elgar Publishing
Total Pages: 856
Release: 2013-01-01
Genre: Business & Economics
ISBN: 1781955654

Acclaim for previous editions: 'The International Yearbook of Industrial Statistics 2011 provides comprehensive statistical data on world manufacturing. . . The Yearbook represents a massive effort in data collection, data harmonization, and tabular presentation – well beyond the constraints of time and resources available to the average researcher or investigator. Therefore, the Yearbook presents a vast amount of information in a convenient form.' – William C. Struning, American Reference Books Annual 2012 'The UNIDO International Yearbook of Industrial Statistics is now a classic reference. . . which constitutes a unique statistical tool for analyzing the world industry and aims at facilitating the comparison of industrial systems. The different editions of the Yearbook provide a unique statistical tool for analyzing the world industry.' – Revue d'Economie Industrielle / Industrial Economics Review 'This annual publication seems to be the only international publication providing worldwide statistics on current performance and trends in the manufacturing sector. In terms of comprehensiveness, accuracy, and cross-country comparisons this volume is unparalleled . . . If you are looking for an authoritative source for comparative international statistics on industrial information, this is it.' – Andrea Meyer, Business Information Alert 'This is a unique and massive effort by UNIDO providing comparative statistics on current performance and trends in the manufacturing sector worldwide . . . There is no doubt that the volume is a most important source book for economists, planners and policymakers.' – Pradosh Nath, Journal of Science and Industrial Research 'UNIDO has done well to bridge gaps in information noticed so far in industrial statistics worldwide and its companionship and usefulness will be realised by all users of this documentation in governmental, industrial and academic circles, as a must on every working desk. Its reliability is fully backed up by authoritative analysis.' – Rajinder Kunmar, Marketing and Management News A unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector. The Yearbook is designed to facilitate international comparisons relating to manufacturing activity and industrial development and performance. It provides data which can be used to analyse patterns of growth and related long term trends, structural change and industrial performance in individual industries. Statistics on employment patterns, wages, consumption and gross output and other key indicators are also presented.

International Yearbook of Industrial Statistics 2015

International Yearbook of Industrial Statistics 2015
Author: United Nations Industrial Development Organization
Publisher: Edward Elgar Publishing
Total Pages: 759
Release: 2015-02-27
Genre: Business & Economics
ISBN: 1784715506

A unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.&

International Yearbook of Industrial Statistics 2018

International Yearbook of Industrial Statistics 2018
Author: United Nations Industrial Development Organization
Publisher: Edward Elgar Publishing
Total Pages: 673
Release: 2018-02-23
Genre: Business & Economics
ISBN: 1788116593

A unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.