Elements of Large-Sample Theory / Edition 1

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Overview

Written by one of the main figures in twentieth century statistics, this book 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. The book is written at an elementary level making it accessible to most readers.

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Editorial Reviews

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EUROPEAN MATHEMATICAL SOCIETY

"The book also contains rich collection of problems and a useful list of references, and can be warmly recommended as a complementary text to lectures on mathematical statistics, as well as a textbook for more advanced courses."

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Product Details

  • ISBN-13: 9780387985954
  • Publisher: Springer New York
  • Publication date: 12/4/1998
  • Series: Springer Texts in Statistics Series
  • Edition description: 1st ed. 1999. Corr. 3rd printing 2004
  • Edition number: 1
  • Pages: 632
  • Product dimensions: 9.21 (w) x 6.14 (h) x 1.44 (d)

Table of Contents

Mathematical Background
• Convergence in Probability and in Law
• Performance of Statistical Tests
• Estimation* Multivariate Extensions
• Nonparametric Estimation
• Efficient Estimators and Tests *

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