Empirical Processes in M-Estimation (Cambridge Series in Statistical and Probabilistic Mathematics) Book + PRICE WATCH * Amazon pricing is not included in price watch

Empirical Processes in M-Estimation (Cambridge Series in Statistical and Probabilistic Mathematics) Book

Advanced text; estimation methods in statistics, e.g. least squares; lots of examples; minimal abstraction. The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models...Read More

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  • Book Description

    The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes it possible to give a unified treatment of various models. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space, using entropy as a measure of complexity, presenting tools and methods to analyse nonparametric, and in some cases semiparametric methods. Graduate students and professionals in statistics, as well as those interested in applications, e.g. to econometrics, medical statistics, etc., will welcome this treatment.

  • 0521123259
  • 9780521123259
  • Sara A. van de Geer
  • 19 November 2009
  • Cambridge University Press
  • Paperback (Book)
  • 300
  • Reissue
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