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Rating: 
Summary: Highly Recommend
Review: Dr. Stamatis covers from Traditional Experimental Design to Taguchi Design in this one source for understanding all the hype around advanced statistics for industrial applications. He even clearly explains the roll of Robust Design, which may be the only true way to achieve six sigma in the future. I highly recommend this book for anyone planning to use statistics in a business setting.
Rating:
Summary: Highly Recommend
Review: Dr. Stamatis covers from Traditional Experimental Design to Taguchi Design in this one source for understanding all the hype around advanced statistics for industrial applications. He even clearly explains the roll of Robust Design, which may be the only true way to achieve six sigma in the future. I highly recommend this book for anyone planning to use statistics in a business setting.
Rating:
Summary: A must have
Review: This book is a comprehensive review of important concepts supporting the design of experiments methodology. It covers elements ranging from basic data collection techniques to interpretation of ANOVA tables. In addition, the book provides explanations of the integral role DOE plays in the six sigma and robustness concepts, which are so prevalent within R&D and manufacturing organizations around the world. Dr. Stamatis not only focuses on the statistical concepts supporting the DOE methodology, but he also emphasizes their rationales, applications and interpretations. Basic statistical ideas are clearly presented, so that the non-statistician can understand, as well as apply the concepts. Pertinent illustrations are provided for every relevant concept, most with numerical examples, and many with cases examples demonstrated through output from various commercially available software. This book is a must for every Engineer and Scientist who ever plans to use design of experiments in his or her work. The book is well suited for both the self-learner and the experienced researcher. The materials are presented in an interesting and down to earth, readable text. The power of the methodology is obvious to the reader by the end of every chapter. In brief, this book is an excellent presentation of a potentially difficult and dry subject. I highly recommend this book!
Rating:
Summary: A must have
Review: This book is a comprehensive review of important concepts supporting the design of experiments methodology. It covers elements ranging from basic data collection techniques to interpretation of ANOVA tables. In addition, the book provides explanations of the integral role DOE plays in the six sigma and robustness concepts, which are so prevalent within R&D and manufacturing organizations around the world. Dr. Stamatis not only focuses on the statistical concepts supporting the DOE methodology, but he also emphasizes their rationales, applications and interpretations. Basic statistical ideas are clearly presented, so that the non-statistician can understand, as well as apply the concepts. Pertinent illustrations are provided for every relevant concept, most with numerical examples, and many with cases examples demonstrated through output from various commercially available software. This book is a must for every Engineer and Scientist who ever plans to use design of experiments in his or her work. The book is well suited for both the self-learner and the experienced researcher. The materials are presented in an interesting and down to earth, readable text. The power of the methodology is obvious to the reader by the end of every chapter. In brief, this book is an excellent presentation of a potentially difficult and dry subject. I highly recommend this book!
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