Customer Reviews

Experimentation and Uncertainty Analysis for Engineers

5 star:		(1)
4 star:		(1)
3 star:		(0)
2 star:		(1)
1 star:		(0)

 

 

The other reviewer's comment is true but irrelevant. It is a pretty boring read, but the fact is, if your instructor uses this text, then you have to use this text. Also, this is one of THE definitive texts on the subject. The text begins with methods of statistical analysis for the use in uncertainty analysis. It describes the methods for modeling and simulating error propagation (Monte Carlo Method, and Taylor Series Method), and methods to incorporate uncertainty analysis into the planning phases of experiments. It then moves into how to conduct a detailed uncertainty analysis of a major experimentation efforts.

When an engineer is presented with data, the first question he or she should ask is how good is the data. This book provides the reader with the tools needed to be able to determine a degree of goodness to a set of data.

I'd give 5 stars, but the book's too expensive. That's my only legitimate gripe about this book... but then again, there might be a reason this is the most expensive text on the subject.

Usually, when you find a book comprising the Uncertainty Analysis, it is normally quite boring, hard read and even harder to use it in something practical. For sure, it is not the case here. Experimentation and Uncertainty Analysis for Engineers properly presents the theory behind the Uncertainty Analysis as much as necessary for understanding the various engineering applications described in the book. Congratulations for the authors for establishing the almost the perfect bridge to link the big gap that lies between the theory and practical applications.

this book sucks. Its very boring. may want to reconsider if instructor suggests this book.