Ebook Applied Statistics For The Six Sigma Green Belt, by Bhisham C. Gupta, H. Fred Walker
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Applied Statistics For The Six Sigma Green Belt, by Bhisham C. Gupta, H. Fred Walker
Ebook Applied Statistics For The Six Sigma Green Belt, by Bhisham C. Gupta, H. Fred Walker
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Applied Statistics for the Six Sigma Green Belt is a desk reference for Six Sigma green belts or beginners who are not familiar with statistics. As Six Sigma team members, green belts will help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. This book will serve as an excellent instructional tool developing a strong understanding of basic statistics including how to describe data both graphically and numerically. It’s specific focus is on concepts, applications, and interpretations of the statistical tools used during, and as part of, the Design, Measure, Analyze, Improve, and Control (DMAIC) methodology.
- Sales Rank: #1480536 in Books
- Brand: Brand: Amer Society for Quality
- Published on: 2005-02-28
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 7.00" w x 1.25" l,
- Binding: Hardcover
- 368 pages
- Used Book in Good Condition
About the Author
Bhisham C. Gupta is a professor of Statistics at the University of Southern Maine. He has taught numerous topics of statistics, including probability theory, statistical inference, biostatistics, linear models, regression analysis, design of experiments, analysis of variance, sampling techniques, quality control, nonparametric methods, and applied statistics for engineers at undergraduate and graduate levels in the United States, Canada, Brazil, and India. Gupta developed undergraduate and graduate programs at the Federal University of Rio de Janeiro, Brazil, and at the University of Southern Maine. He also organized the first Brazilian National Symposium of Probability and Statistics. Gupta has published 35 research papers in well-reputed international journals. His research interests include sampling theory, design of experiments, and statistical quality control. He has also co-authored or authored Regression and Analysis of Variance Techniques and Elements of Probability Theory (in Portuguese).
H. Fred Walker is the department chair and graduate coordinator in the Department of Technology at the University of Southern Maine. Walker develops and teaches graduate courses in applied research methods, engineering economy, quality systems, statistical quality control, quality engineering, design of experiment applications in manufacturing, manufacturing strategies, and project management. He also develops and teaches undergraduate courses in quality, industrial statistics, statistical quality control, cost analysis and control, human resource management, project management, and technical writing. Walker has written nearly 30 refereed articles published in national and international journals. Fred also co-edited and co-authored the Certified Quality Engineering Handbook (2nd ed.) and co-authored the Certified Quality Technician Handbook, both published by ASQ Quality Press. Walker is a Certified Quality Manager, Certified Quality Engineer, Certified Quality Auditor, Certified Manufacturing Technologist, Certified Senior Industrial Technologist, and Six Sigma Black Belt.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Wonderful and easy book.
By jaime zamora alvarado
This item is the best book dealing with six sigma, statistics concepts and many examples for better understanding.
The book is writing with many definitions, and a different order as the author wanted to.so, include random variables, probability distributions, like Normal, Poisson and Binomial,so on.
You can study this book if you have no previous knowledge of statistics, so I recommend this item for six sigma as a reference book or a self teaching course.
Jaime Zamora Alvarado.
September 10, 2013
0 of 0 people found the following review helpful.
Five Stars
By michael neil coleman
Its a book. Everything I expected.
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