Guide to Industrial Statistics
Author | : United States. Bureau of the Census |
Publisher | : |
Total Pages | : 116 |
Release | : 1978 |
Genre | : Manufactures |
ISBN | : |
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Author | : United States. Bureau of the Census |
Publisher | : |
Total Pages | : 116 |
Release | : 1978 |
Genre | : Manufactures |
ISBN | : |
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.
Author | : United States. Bureau of the Census |
Publisher | : |
Total Pages | : 116 |
Release | : 1978 |
Genre | : Manufactures |
ISBN | : |
Author | : Pere Grima Cintas |
Publisher | : John Wiley & Sons |
Total Pages | : 420 |
Release | : 2012-10-01 |
Genre | : Mathematics |
ISBN | : 0470972750 |
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.
Author | : Andrea Ahlemeyer-Stubbe |
Publisher | : John Wiley & Sons |
Total Pages | : 323 |
Release | : 2014-03-31 |
Genre | : Mathematics |
ISBN | : 1118763378 |
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.
Author | : United Nations. Statistical Office |
Publisher | : United Nations Publications |
Total Pages | : 157 |
Release | : 2009 |
Genre | : Political Science |
ISBN | : 9789211615111 |
Author | : United States. Bureau of the Census |
Publisher | : |
Total Pages | : 68 |
Release | : 1960 |
Genre | : Manufactures |
ISBN | : |
Author | : Ken Yale |
Publisher | : Elsevier |
Total Pages | : 824 |
Release | : 2017-11-09 |
Genre | : Mathematics |
ISBN | : 0124166458 |
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 | : |
Publisher | : Jist Publishing |
Total Pages | : 280 |
Release | : 2004 |
Genre | : Business & Economics |
ISBN | : |
This book is a reprint of the government's Career Guide to Industries at a lower price. It is issued shortly after the Occupational Outlook Handbook (OOH) every two years and contains helpful information for job seekers on industry trends and cross-references to OOH job titles. The book covers more than 40 industries and includes the following information on each one: significant points, nature of the industry, working conditions, employment, occupations in the industry, training and advancement, earnings, outlook, and sources of additional information. Ideal for students and other people doing career research, people seeking jobs in new or unfamiliar industries, people interested in certain industries rather than particular jobs, and people with interests and job skills that are needed in many types of businesses.
Author | : Richard Hill |
Publisher | : Springer Nature |
Total Pages | : 285 |
Release | : 2021-09-27 |
Genre | : Computers |
ISBN | : 3030791041 |
This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data. Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments. This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use. Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.