Applied Statistics and Probability for Engineers Hardcover – Mar 23 2010
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Top Customer Reviews
This book was such a relief. The text starts off the same as most with Bayes rule and all the axioms, but it does so in a very straightforward manner. For instance, on page 66 when it does talk about the axioms, it actually defines what an axiom is first. Huh... imagine that. This is in direct contrast with books by Papoulis/Pillai and Leon-Garcia. Those books simply put down the mathematical jargon and simply presume (falsely) that you understand everything.
This book has an excellent definition of WHAT A RANDOM VARIABLE IS! Then uses numerous examples to drive the point home.
I especially like how it starts with discrete R.V. first (ch.4), then cont R.V. (ch.5). There are far more examples than needed, but I am not complaining. The book then goes onto multiple R.V.'s in chapter 6.
After this however the book loses some points in my mind (though not many). The book really goes into statistics after this and leaves the probability alone. For instance characteristic/moment generating functions are only briefly mentioned in the appendix, and functions of R.V.'s (single only) are in the appendix also. This is a super huge shame since the author’s styles are fantastic and they touch on the complicated stuff only briefly.
Nevertheless, the first 6 chapters are so well done that the book does deserve 5 stars. If you are struggling in probability (as I once was) this book will get you back on track. If this book cannot teach you the basics of probability, no book can.
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