Science/Engineering Elements of Large-Sample Theory (Springer Texts in Statistics) (Repost) (0387985956)

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Elements of Large-Sample Theory (Springer Texts in Statistics)

Elements of Large Sample Theory provides a unified treatment of first-order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology written at an elementary level. The book is suitable for students at the Master's level in statistics and in aplied fields who have a background of two years of calculus. E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Ber

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	Science/Engineering Elements of Large-Sample Theory (Springer Texts in Statistics) ISBN: 0387985956Title: Elements of Large-Sample Theory (Springer Texts in Statistics)Author: E.L. LehmannPublisher: SpringerPublication Date: 2004-08-27Number Of Pages: 631Average Amazon Rating: 5.02.3 Mb pdfElements of Large Sample Theory ...
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	Elements of Large-Sample Theory E.L. Lehmann,
	Mathematics Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics) Author: James E. GentlePublisher: Springer (2007)Binding: Hardcover, 530 pagespricer: $89.95ISBN-10: 0387708723editorialreviewsMatrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. Th ...
	Mathematics Theory of Multivariate Statistics (Springer Texts in Statistics) Author: Martin Bilodeau, David BrennerPublisher: Springer (1999)Binding: Hardcover, 288 pagespricer: $98.00ISBN-10: 0387987398editorialreviewsOur object in writing this book is to present the main results of the modern theory of multivaria ...
	Measure Theory and Probability Theory (Springer Texts in Statistics) (repost) Measure Theory and Probability Theory (Springer Texts in Statistics)Springer; 1 edition (July 27, 2006) \| ISBN: 038732903X \| 618 pages \| PDF \| 4 MBThis is a graduate level textbook on measure theory and probability theory. The book can be u ...

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