A course in large sample theory by Thomas S. Ferguson
Download ebook: A course in large sample theory
A course in large sample theory Thomas S. Ferguson ebook
Page: 247
Publisher: Chapman & Hall
ISBN: 0412043718, 9780412043710
Format: djvu
Language: English
Ferguson: A Course in Large Sample Theory. In statistics, we are interested in the properties of particular random variables (or. Not mathematically advanced, but covers a large volume of material. The book is supplemented by a large number of exercises, giving the readers plenty of opportunities to practice what A first course in mathematical statistics and a course in calculus are prerequisites. A Course in Large Sample Theory (Chapman & Hall/CRC Texts in Statistical Science) [Thomas S. Jiming Jiang is a Professor of Statistics at the University of California, Davis. The sections of case studies and chapters of applications fully demonstrate how to use methods developed from large sample theory in various, less-than-textbook situations. A Course in Large Sample Theory (Chapman & Hall/CRC Texts in Statistical Science. A series of examples used in a course on large-sample theory illustrates this thesis. A Course in Large Sample Theory by Thomas Ferguson. Description: A first course in the theory of statistics, to follow STAT 516. : Asymptotic Theory of Statistics and Probability. Key Words: Large-sample theory, Statistical computing. A Course in Large Sample Theory (Chapman & Hall/CRC Texts in Statistical Science) book download. �estimators”), which are functions of our data. � Asymptotics in Statistics: Some Basic Concepts by Lucien Le Cam and Grace.
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