Young G.A., Smith R.L. Essentials of Statistical Inference

CRC Press, 2014. — 596 p. Statistics 110 (Probability) has been taught at Harvard University by Joe Blitzstein (Professor of the Practice in Statistics, Harvard University) each year since 2006. The on-campus Stat 110 course has grown from 80 students to over 300 students per year in that time. Lecture videos, review materials, and over 250 practice problems with detailed...

Springer, 2013. – 566 p. – ISBN: 1461448174, 9781461448174 This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is...

Cambridge University Press, 2000. — 462 p. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN: 0521784506, 9780521784504 Here is a practical and mathematically rigorous introduction to the field of asymptotic statistics. In addition to most of the standard topics of an asymptotics course-likelihood inference, M-estimation, the theory of asymptotic...