Book for non parametric statistics What would be a good book for non-parametric statistics. Not just the introduction but advanced level. Also I am looking at something I can use for learn and not for reference.
In particular I am looking for a book that can contain basics behind non-parametric methods, non-parametric inference, methods to evaluate non parametrics, e.g., KS test, $t$ test, etc. , bootstrapping ....
 A: I think of the Encyclopaedia Britannica of nonparametric statistics as being:  


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*Hollander, M, & Wolfe, D (1999). Nonparametric Statistical Methods, 2nd Edition. Wiley.  


I'm not sure if I would characterize this as introductory or advanced.  Many of the sections are a bit terse, in my opinion, and are written with a good deal of mathematical notation.  This will be intimidating / off-putting for people who have some math anxiety. On the other hand, it's not really deriving theorems, it's just using mathematical notation to express the ideas.  There are some problems included at the end of each section; you could definitely use the book to learn nonparametric statistics.  
For a treatment that is much more introductory:  


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*Higgins, J. (2003). Introduction to Modern Nonparametric Statistics. Duxbury.  


will be much less intimidating, I think.  I have skimmed some portions of it, and it seems to be a gentle introduction for people who don't have a strong statistical background.  It is very clear, but does not have anything like the depth or coverage of Hollander & Wolfe.  
A: You may want to check out All of Nonparametric Statistics, by Larry Wasserman. The title says it all ;)
The reviews for the book are outstanding. I cannot tell for myself, since I have not read it yet. But it seems to have all the theoretical background you are looking for, plus it has also a focus on applications, i.e. it well help you to put those techniques into use quickly.
