A Course In Mathematical Statistics And Large Sample Theory

Download A Course In Mathematical Statistics And Large Sample Theory full books in PDF, epub, and Kindle. Read online free A Course In Mathematical Statistics And Large Sample Theory ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!


Related Books

A Course in Mathematical Statistics and Large Sample Theory
Language: en
Pages: 386
Authors: Rabi Bhattacharya
Categories: Mathematics
Type: BOOK - Published: 2016-08-13 - Publisher: Springer

DOWNLOAD EBOOK

This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course i
A Course in Large Sample Theory
Language: en
Pages: 256
Authors: Thomas S. Ferguson
Categories: Mathematics
Type: BOOK - Published: 2017-09-06 - Publisher: Routledge

DOWNLOAD EBOOK

A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for ex
Elements of Large-Sample Theory
Language: en
Pages: 640
Authors: E.L. Lehmann
Categories: Mathematics
Type: BOOK - Published: 2006-04-18 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Written by one of the main figures in twentieth century statistics, this book provides a unified treatment of first-order large-sample theory. It discusses a br
Large Sample Techniques for Statistics
Language: en
Pages: 689
Authors: Jiming Jiang
Categories: Mathematics
Type: BOOK - Published: 2022-04-04 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Larg
A First Course Mathematical Statistics
Language: en
Pages: 302
Authors: C. E. Weatherburn
Categories: Mathematics
Type: BOOK - Published: 1949-01-02 - Publisher: CUP Archive

DOWNLOAD EBOOK

This book provides the mathematical foundations of statistics. Its aim is to explain the principles, to prove the formulae to give validity to the methods emplo