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Series Expansions in Statistical Theory of Detection and Estimation

  • Y. F. Huang

Abstract

Methods of series expansions have been used extensively in many areas of science and engineering. In particular, since the early part of the century, they have been used in the study of approximations to distribution functions and in the study of approximations to quantiles, especially for complicated distributions. These approximations are of great importance in the general theory of statistical inference so that one can evaluate (approximately) the performance and/or robustness of some standard tests of hypotheses and of optimal estimators.

Keywords

Equivalence Class Asymptotic Expansion Series Expansion Noise Distribution Edgeworth Expansion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 1986

Authors and Affiliations

  • Y. F. Huang
    • 1
  1. 1.Department of Electrical EngineeringUniversity of Notre DameNotre DameUSA

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