Title
A DOE Handbook:: A Simple Approach to Basic Statistical Design of Experiments,New
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This short handbook is a practical and accessible guide to the statistical design and analysis of 2level, multifactor experiments of the kind widely used in industry and business. Written for technologists and researchers, it forgoes the usual heavy statistical overlay of typical texts on this subject by focusing on a limited catalog of standard designs that are useful for commonly encountered problems. These design choices are based on relatively recent developments in design projectivity, and their analysis requires nothing more than simple plots of the data: neither special expertise nor complex software is needed. Numerous examples show how to carry out this program in practice.Even though the statistical content of the handbook has been deliberately limited, it nevertheless discusses several practical matters that are rarely included in more comprehensive treatments, but which are vital for experimental success. Among these are the realities of randomization versus splitplotting, the importance of identifying the experimental unit, and a discussion of replication that argues that it is generally not worth the effort. Readers with some prior statistical exposure and statisticians may also be surprised to find that pvalues do not appear anywhere in the book, and that in fact the authors explicitly argue against their use.Those new to the ideas of Statistical Design of Experiments (DOE) or even those who have some familiarity but would like greater insight and simplicity should find this handbook an effective way to learn about and apply this powerful technology in their own work.
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- Q: What is the focus of 'A DOE Handbook'? A: 'A DOE Handbook' focuses on the statistical design and analysis of 2-level, multi-factor experiments, making it accessible for technologists and researchers.
- Q: Is prior statistical knowledge required to understand this handbook? A: No, prior statistical knowledge is not required. The handbook is designed to be straightforward for those new to Statistical Design of Experiments.
- Q: What types of experiments does this handbook cover? A: The handbook covers 2-level, multi-factor experiments commonly used in industry and business.
- Q: Does the handbook include complex statistical methods? A: No, it intentionally avoids complex statistical methods, focusing instead on standard designs and simple data plots.
- Q: How long is 'A DOE Handbook'? A: 'A DOE Handbook' contains 118 pages, providing a concise and practical guide to its subject matter.
- Q: What is the publication date of this handbook? A: The handbook was published on May 15, 2014.
- Q: Who is the author of 'A DOE Handbook'? A: The author of the handbook is Bert Gunter.
- Q: What is the condition of the book being sold? A: The book is available in 'New' condition.
- Q: What is the binding type of 'A DOE Handbook'? A: The handbook is available in paperback binding.
- Q: What unique elements does the handbook discuss regarding experiments? A: It discusses practical matters like randomization, identifying experimental units, and the role of replication.