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Statistical Design of Experiments with Engineering Applications
Statistical Design of Experiments with Engineering Applications
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€80.99
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A C A A
A01=Kamel Rekab
A01=Muzaffar Shaikh
AB AC
AB AC Ad
AB AC Ad BC BD
ABCD
advanced experimental design techniques
Author_Kamel Rekab
Author_Muzaffar Shaikh
Box Behnken Design
Category=PBT
CCDs
designs
Dispersion Minimization
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
equation
experimental
Experimental Design Plan
experimental methodology
Experimental Run
Face Centered Central Composite Design
factorial
Factorial Designs
Filtration Cycle
fractional
Fractional Factorial Designs
full
Full Factorial Design
Half Effect
industrial statistics
main
Normal Probability Plot
Plackett Burman Designs
plan
prediction
Prediction Equation
process optimization
quality engineering
reliability assessment
Resolution Iii
Resolution Iv
Resolution Iv Design
Rotatable Central Composite Design
runs
Taguchi Designs
Unreplicated Study
variance analysis
Product details
- ISBN 9780367393021
- Weight: 362g
- Dimensions: 152 x 229mm
- Publication Date: 05 Sep 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts.
The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.
Rekab, Kamel; Shaikh, Muzaffar
Statistical Design of Experiments with Engineering Applications
€80.99
