tailieunhanh - Large Sample Techniques for Statistics: Part 2

(BQ) This part provides an account of large-sample theory for independent random variables with applications to efficient estimation and testing problems. Several classical cases of dependent random variables are also considered, such as m-dependent sequences, rank, and order statistics, but the basic method was to convert these to the case of independent observations plus some extra terms that are asymptotically negligible. The chapters are written in a theorem–proof style which is what the author intended to do. | Large Sample Techniques for Statistics Part 2