The Six Sigma Handbook, Third Edition

The Six Sigma Handbook, Third Edition

Author: Thomas Pyzdek

Publisher: McGraw Hill Professional

Published: 2009-09-21

Total Pages: 562

ISBN-13: 007162337X

DOWNLOAD EBOOK

The authoritative classic--revised and updated for today's Six Sigma practitioners Whether you want to further your Six Sigma training to achieve a Black or Green Belt or you are totally new to the quality-management strategy, you need reliable guidance. The Six Sigma Handbook, Third Edition shows you, step by step, how to integrate this profitable approach into your company's culture. Co-written by an award-winning contributor to the practice of quality management and a successful Six Sigma trainer, this hands-on guide features: Cutting-edge, Lean Six Sigma concepts integrated throughout Completely revised material focused on project objectives Updated and expanded problem-solving examples using Excel and Minitab A streamlined format that puts proven practices at your fingertips The Six Sigma Handbook, Third Edition is the only comprehensive reference you need to make Six Sigma work for your company. The book explains how to organize for Six Sigma, how to use customer requirements to drive strategy and operations, how to carry out successful project management, and more. Learn all the management responsibilities and actions necessary for a successful deployment, as well as how to: Dramatically improve products and processes using DMAIC and DMADV Use Design for Six Sigma to create innovative products and processes Incorporate lean, problem-solving, and statistical techniques within the Six Sigma methodology Avoid common pitfalls during implementation Six Sigma has evolved with the changing global economy, and The Six Sigma Handbook, Third Edition is your key to ensuring that your company realizes significant gains in quality, productivity, and sales in today's business climate.


Bayesian Models for Astrophysical Data

Bayesian Models for Astrophysical Data

Author: Joseph M. Hilbe

Publisher: Cambridge University Press

Published: 2017-04-27

Total Pages: 429

ISBN-13: 1108210740

DOWNLOAD EBOOK

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally.


The Six Sigma Handbook, 5E

The Six Sigma Handbook, 5E

Author: Thomas Pyzdek

Publisher: McGraw Hill Professional

Published: 2018-09-07

Total Pages: 721

ISBN-13: 1260121836

DOWNLOAD EBOOK

The most important reference to Lean Six Sigma―fully updated for the latest advancesThis thoroughly revised, industry standard guide delivers all the information you need to apply Lean Six Sigma techniques and dramatically improve processes, profitability, sustainability, and long-term growth. Written by two of the foremost authorities in the field, the book contains full explanations of the latest lean, problem solving and change management principles and methods. You will discover how to build the best teams and foster effective leadership while maximizing customer satisfaction and boosting profits. The book includes coverage of the recently released Minitab 18.The Six Sigma Handbook, Fifth Edition covers:•Building the responsive Six Sigma organization•Recognizing and capitalizing on opportunity•Data-driven management•Maximizing resources•Project management using DMAIC and DMADV•The define phase•The measure phase•Process behavior charts•Measurement systems evaluation•The analyze phase•The improve/design phase•The control/verify phase