Industrial Statistics


Book Description

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 with Minitab


Book Description

Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented. Industrial Statistics with MINITAB: Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry. Explores statistical techniques and how they can be used effectively with the help of MINITAB 16. Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge. Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments. Is supported by an accompanying website featuring case studies and the corresponding datasets. Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. The book can also be used as quick reference enabling the reader to be confident enough to explore other MINITAB capabilities.




Handbook of industrial statistics, 1992


Book Description

'The Handbook of Industrial Statistics is an essential source of reference for economists specialising in industrial and development issues and I would expect it to be available in all good libraries.' - F.I. Nixson, University of Manchester, UK This unique, comprehensive reference work, now in its sixth edition, provides detailed up-to-date statistical information that is not available from any other single source. It presents internationally comparable statistics for over 120 countries at different levels of detail in industry/product specification. The data appearing in the Handbook have been collected from both national and international sources and supplemented through field work by UNIDO statisticians.




Handbook of Statistical Analysis and Data Mining Applications


Book Description

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




The Career of a Research Statistician


Book Description

This monograph highlights the connection between the theoretical work done by research statisticians and the impact that work has on various industries. Drawing on decades of experience as an industry consultant, the author details how his contributions have had a lasting impact on the field of statistics as a whole. Aspiring statisticians and data scientists will be motivated to find practical applications for their knowledge, as they see how such work can yield breakthroughs in their field. Each chapter highlights a consulting position the author held that resulted in a significant contribution to statistical theory. Topics covered include tracking processes with change points, estimating common parameters, crossing fields with absorption points, military operations research, sampling surveys, stochastic visibility in random fields, reliability analysis, applied probability, and more. Notable advancements within each of these topics are presented by analyzing the problems facing various industries, and how solving those problems contributed to the development of the field. The Career of a Research Statistician is ideal for researchers, graduate students, or industry professionals working in statistics. It will be particularly useful for up-and-coming statisticians interested in the promising connection between academia and industry.




Statistics


Book Description

This - one of a kind - book offers a comprehensive, almost encyclopedic presentation of statistical methods and analytic approaches used in science, industry, business, and data mining, written from the perspective of the real-life practitioner ("consumer") of these methods.




International Yearbook of Industrial Statistics 2021


Book Description

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 Oxford Handbook of Industrial Policy


Book Description

Industrial policy has long been regarded as a strategy to encourage sector-, industry-, or economy-wide development by the state. It has been central to competitiveness, catching up, and structural change in both advanced and developing countries. It has also been one of the most contested perspectives, reflecting ideologically inflected debates and shifts in prevailing ideas. There has lately been a renewed interest in industrial policy in academic circles and international policy dialogues, prompted by the weak outcomes of policies pursued by many developing countries under the direction of the Washington Consensus (and its descendants), the slow economic recovery of many advanced economies after the 2008 global financial crisis, and mounting anxieties about the national consequences of globalization. The Oxford Handbook of Industrial Policy presents a comprehensive review of and a novel approach to the conceptual and theoretical foundations of industrial policy. The Handbook also presents analytical perspectives on how industrial policy connects to broader issues of development strategy, macro-economic policies, infrastructure development, human capital, and political economy. By combining historical and theoretical perspectives, and integrating conceptual issues with empirical evidence drawn from advanced, emerging, and developing countries, The Handbook offers valuable lessons and policy insights to policymakers, practitioners and researchers on developing productive transformation, technological capabilities, and international competitiveness. It addresses pressing issues including climate change, the gendered dimensions of industrial policy, global governance, and technical change. Written by leading international thinkers on the subject, the volume pulls together different perspectives and schools of thought from neo-classical to structuralist development economists to discuss and highlight the adaptation of industrial policy in an ever-changing socio-economic and political landscape.