A Course in Mathematical Statistics and Large Sample Theory

丛 书 名：Springer texts in statistics,

版本说明：1

作     者：Rabi Bhattacharya Lizhen Lin Victor Patrangenaru 

I S B N：(纸本) 9781493940301 

出 版 社：Springer 

出 版 年：2016年

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

馆 藏 号：201100842...

摘      要：“It deals with advanced statistical theory with a special focus on statistical inference and large sample theory, aiming to cover the material for a modern two-semester graduate course in mathematical statistics. … Overall, the book is very advanced and is recommended to graduate students with sound statistical backgrounds, as well as to teachers, researchers, and practitioners who wish to acquire more knowledge on mathematical statistics and large sample theory. (Lefteris Angelis, Computing Reviews, March, 2017)“This is a very nice book suitable for a theoretical statistics course after having worked through something at the level of Casella & Berger, as well as some measure theory. … In addition to the exercises, which range from doable to interesting, there are several projects scattered throughout the text. The explanations are clear and crisp, and the presentation is interesting. … the book would be a worthy addition to your statistics library. (Peter Rabinovitch, MAA Reviews, ***, March, 2017)