This text covers topics such as nonparametric statistics, statistical quality control, multivariate regression analysis and operating characteristic curves. The accompanying IBM software gives a complete treatment of statistically valid sample sizes in all tests of hypotheses addressed.
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Most Helpful Customer Reviews
1.0 out of 5 stars
Terrible,
By Sport History Reader "WHA Fan" (Windsor, ON) - See all my reviews
This review is from: Statistical Analysis for Engineers and Scientists: A Computer-Based Approach/User's Manual to Accompany Statistical Analysis for Engineers and Scien (Hardcover)
I had this book in University and it was one of the worst texts I've ever owned. The author does a lousy job of defining variables and refers to his pathetic computer program way too often instead of working through examples. Avoid.
1 of 2 people found the following review helpful:
4.0 out of 5 stars
Excellent Book for non-mathematicians,
By kashifm "kashifm" (Illinois, USA) - See all my reviews
This review is from: Statistical Analysis for Engineers and Scientists: A Computer-Based Approach (IBM) (Hardcover)
A good book for engineers. Almost every computer scientist has, one time or another, wished he/she had a more solid background in Maths. This book addresses such reflections. Just when the contents get too abstract the author introduces some practical examples and drag the reader back into the reality. The first five chapters introduces the mathematical foundation of probability, distribution, random variables. The remaining book only gives the practical usage of these concepts. Any software engineer who wishes to do some research must read this book to be able to grasp the ideas of probability, random variables, curve fitting, data representation.
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