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A course in large sample theory by Thomas S. Ferguson

A course in large sample theory Thomas S. Ferguson ebook
Format: djvu
Page: 247
ISBN: 0412043718, 9780412043710
Publisher: Chapman & Hall

Jiming Jiang is a Professor of Statistics at the University of California, Davis. Included here; instead, references are provided to the relevant literature. Language: English Released: 1996. This course focuses on drawing large sample inferences about "parameters" in statistical models. 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 history of mathematical statistics from 1750 to 1930. Publisher: Chapman & Hall Page Count: 247. A Course in Large Sample Theory. Chapman and Hall, London, 1996. "Elements of Large-Sample Theory" Springer. Ferguson, A Course in Large Sample Theory, Chapman and Hall, 1996. Description: A first course in the theory of statistics, to follow STAT 516. You'll need to learn something about asymptotics at some point, and a good starting place is: 3.) Lehmann, E. Not mathematically advanced, but covers a large volume of material. A Course in Large Sample Theory, Chapman and. GO A course in large sample theory. 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. "A Course in Large Sample Theory" Chapman & Hall/CRC. Foss, Ergodicity of queueing networks, Siberian Math.