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Theory of U-Statistics

  • Book
  • © 1994

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Part of the book series: Mathematics and Its Applications (MAIA, volume 273)

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Table of contents (11 chapters)

Keywords

About this book

The theory of U-statistics goes back to the fundamental work of Hoeffding [1], in which he proved the central limit theorem. During last forty years the interest to this class of random variables has been permanently increasing, and thus, the new intensively developing branch of probability theory has been formed. The U-statistics are one of the universal objects of the modem probability theory of summation. On the one hand, they are more complicated "algebraically" than sums of independent random variables and vectors, and on the other hand, they contain essential elements of dependence which display themselves in the martingale properties. In addition, the U -statistics as an object of mathematical statistics occupy one of the central places in statistical problems. The development of the theory of U-statistics is stipulated by the influence of the classical theory of summation of independent random variables: The law of large num­ bers, central limit theorem, invariance principle, and the law of the iterated logarithm we re proved, the estimates of convergence rate were obtained, etc.

Authors and Affiliations

  • Institute of Mathematics, Kiev, Ukraine

    V. S. Koroljuk

  • Institute of Textile and Light Industry, St. Petersburg, Russia

    Yu. V. Borovskich

Bibliographic Information

  • Book Title: Theory of U-Statistics

  • Authors: V. S. Koroljuk, Yu. V. Borovskich

  • Series Title: Mathematics and Its Applications

  • DOI: https://doi.org/10.1007/978-94-017-3515-5

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1994

  • Hardcover ISBN: 978-0-7923-2608-3Published: 30 November 1993

  • Softcover ISBN: 978-90-481-4346-7Published: 08 December 2010

  • eBook ISBN: 978-94-017-3515-5Published: 09 March 2013

  • Edition Number: 1

  • Number of Pages: X, 554

  • Additional Information: Originally published in Russian

  • Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs

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