Customer Reviews

Statistical Models in Engineering (Wiley Classics Library)

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This book has proven incredibly helpful on so many occasions that I highly recommend it. Here are some examples:

Years ago, when I had a problem to deal with to improve probe yields on some major products, I presumed that a certain technique existed. I searched through several libraries, and finally found this book - and it had exactly the technique I needed.

Months later, an associate expressed frustration with his efforts to model a complex reliability problem - I showed him this book, and his eyes lit up as he saw the technique he needed.

Years later, when I needed to develop a statistical model for on time delivery, I again referred to this book to derive relationships between the standard deviation and average yields - but it also provided the information I needed on using Poisson statistics for process and assembly yield, and gave a helpful model for obtaining the cycle time distributions for a series of processes, such as from order through manufacturing and shipping to delivery of final product.

This book has been an incredible resource when I realized that I needed to use statistical models for my analysis, but didn't know where to begin. My background in statistics was basic and this book proved to be written so well that I could follow along. I needed details about how to estimate the parameters for the Gamma distribution and this book had what I needed. I wanted to run a Monte Carlo simulation and this book explained the fundamentals. The book also proved incredibly useful when learning about Chi-Squared goodness of fit tests and many other statistical methods. I highly recommend this book as a resource for statistical methods.