RSM Simplified
Regular price
€235.60
A01=Mark J. Anderson
A01=Patrick J. Whitcomb
AB AC BC
advanced process optimization methods
Algorithmic Model Reduction
Arc Sin Square Root
Author_Mark J. Anderson
Author_Patrick J. Whitcomb
Box Cox Plot
Category=KC
Category=KJ
Category=KJMV5
central composite design
Defect prevention
Design of experiments
Doe
Drive Time
DSDs
Em Pe
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Experimental design
experimental design strategies
FCD
File Names
LOF
Longley Data
mixture experiment methodology
Perturbation Plot
POE
Press
Pure
Pure Error
Quadratic Model
regression analysis techniques
Resolution Iii
Resolution Iv
Response Surface Method
Rotatable CCD
RSM Experiment
Six sigma
six sigma optimization
statistical modeling applications
Unique Design Point
Via
Product details
- ISBN 9781138463905
- Weight: 740g
- Dimensions: 178 x 254mm
- Publication Date: 15 Aug 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Anderson and Whitcomb pick up where they left off in DOE Simplified with RSM Simplified -- a practical tool for design of experiments that anyone with a minimum of technical training can understand and appreciate. Their approach is simple and fun for those who desire knowledge on response surface methods but are put off by the academic nature of other books on the topic. RSM Simplified keeps formulas to a minimum and makes liberal use of figures, charts, graphs, and checklists. It offers many relevant examples with amusing sidebars and do-it-yourself exercises that will lead readers to the peak potential for their product quality and process efficiency.
Mark Anderson is a principal and general manager of Stat-Ease, Inc. Prior to joining the firm, he spearheaded an award-winning quality improvement program for an international manufacturer, generating millions of dollars in profit. Mark offers a diverse array of experience in process development, quality assurance, marketing, purchasing, and general management. Mark is also co-author of: DOE Simplified: Practical Tools for Effective Experimentation and RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, and has published numerous articles on design of experiments (DOE). He is also a guest lecturer at the University of MN Chemical Engineering & Materials Science department and the Ohio State University Fisher College of Business.
