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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

Hence, the dependence condition (2.3) allows a stronger dependence within a larger class of random variables and demands more independence within a smaller class. A Course in Large Sample Theory (CRC/C&h Texts in Statistical Science) by Thomas S. A Course in Large Sample Theory. 8 Large sample theory: A casual approach. Ferguson, A Course in Large Sample Theory, Chapman & Hall, New York, NY, USA, 1996. Feuerverger, A., A consistent test for bivariate dependence. A course in large sample theory. Prerequisite: course 231A, 231B. Third part of three-quarter sequence on mathematical statistics. Ferguson TS (1996)A Course in Large Sample Theory. Chapman and Hall, London, 1996. Ferguson, T.S., A Course in Large Sample Theory. Asymptotic methods in statistical decision theory. Www.maths.lth.se/matstat/staff/nader/stint/course-plan_heping.pdf. Sehl ME, Sinsheimer JS, Zhou H, Lange KL (2009) Differential destruction of stem cells: Implications for targeted cancer stem cell therapy. The central limit theorem is one of the most remarkable results of the theory of probability [1], which is critical to understand inferential statistics and hypothesis testing [2, 3]. A Course in Large Sample Theory is presented in four parts. P> 

大样本理论的经典教材。

适合一年级研究生学习数理统计 的课程。

作者是该领域的权威人物，UCLA 的教授。