A course in large sample theory by Thomas S. Ferguson

A course in large sample theory



Download A course in large sample theory




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


Jiming Jiang is a Professor of Statistics at the University of California, Davis. MAIN ERRATA last update: April 2002. 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. Prerequisite: course 231A, 231B. Third part of three-quarter sequence on mathematical statistics. A COURSE IN LARGE SAMPLE THEORY by Thomas S. For large samples, since no such procedure is im- Now usually, a first course on statistical inference more theoretical details see e.g. Theory taught to SIU students on two occasions. Some of the Chapter 8 material came from a reading course in Large Sample. 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) .

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