see below. On Sat, Oct 17, 2009 at 5:51 PM, Peng Yu <pengyu...@gmail.com> wrote: > On Sat, Oct 17, 2009 at 3:28 PM, Peter Dalgaard > <p.dalga...@biostat.ku.dk> wrote: >> Ben Bolker wrote: >>> >>> >>> Peng Yu wrote: >>>> >>>> I am looking for a good probability book that describes convergence in >>>> distribution. I have looked through Introduction to Probability by >>>> Charles M. Grinstead, J. Laurie Snell, but I don't find any formal >>>> description on convergence in distribution. Could somebody recommend a >>>> good book that cover this topic? Thank you! >>>> >>>> >>> >>> This mailing list is for R help, not general statistics help. May I >>> respectfully request that you >>> take your questions to a statistics help list instead? >>> >> >> You may want to check out the R package ConvergenceConcepts, though. >> Supporting article due to appear in the next issue of the R Journal. > > I have checked sci.stat.math before my original post. But it is > seriously flooded with junk posts. Before this problem is fixed, it is > probably not very helpful to post anything there. > > I know my question is rudimentary. There are so many probability and > statistics textbook online, and it is difficult for me to figure out > which one fits my need. If you happen to know which book is the best > for me to learn convergence in distribution, please let me know. Thank > you!
But that is'nt really possible since you did not state anything about approximate level needed. One nice book discussing uses of this theory almost without proofs is E L Lehmann: "Elements of Large-Sample Theory" Springer Kjetil > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
