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I know this question has been asked before but I am looking at a specific stats book not just a grad level book. I am looking at stats book that goes beyond an undergrad probability and statistics course and goes into things like QQ plot, Wilcoxon test that is useful for data analysis. I have looked into "All of nonparametric statistics" by Wasserman and the theorem - proof style is not what I have been looking for. Plus, the book does not contain these topics I am looking for.

Are there any recommendations?

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Perhaps, you could say a bit more about the level you are interested in. Are you comfortable with measure theoretic probability? What do you not like about Wasserman's style? The fact that there are theorems and proofs, or the fact that the proofs are sketchy? What exactly are you looking for? I'm not sure what theorem style has to do with QQ-plots. You might look at Hogg McKean and Craig it does cover the Wilcoxon test. – deinst Feb 18 '12 at 23:01
Grad level in what sense? That is, a statistics book for a graduate student in psychology will be different than one for a biologist, much less someone getting a PhD in statistics or computer science or math. – Peter Flom Feb 18 '12 at 23:30
I am comfortable with measure theoretic probability but I am looking for an applied statistics book. By grad level, I meant that does not cover undergrad topics like central limit theorem, law of large numbers etc. In particular am a computer science person looking for a stats book that can be useful in data mining. – I J Feb 19 '12 at 4:09
If you guys are still reading this, I found this book and the contents look pretty relevant to what I was looking for: amazon.com/gp/product/1420077619/… – I J Feb 23 '12 at 19:04

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