The role of Hájek's convolution theorem in statistical theory

Rudolf Beran

Kybernetika (1995)

  • Volume: 31, Issue: 3, page 221-237
  • ISSN: 0023-5954

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Beran, Rudolf. "The role of Hájek's convolution theorem in statistical theory." Kybernetika 31.3 (1995): 221-237. <http://eudml.org/doc/27876>.

@article{Beran1995,
author = {Beran, Rudolf},
journal = {Kybernetika},
keywords = {convolution theorem; information inequality; asymptotic estimation theory; superefficiency; convergence of bootstrap distributions},
language = {eng},
number = {3},
pages = {221-237},
publisher = {Institute of Information Theory and Automation AS CR},
title = {The role of Hájek's convolution theorem in statistical theory},
url = {http://eudml.org/doc/27876},
volume = {31},
year = {1995},
}

TY - JOUR
AU - Beran, Rudolf
TI - The role of Hájek's convolution theorem in statistical theory
JO - Kybernetika
PY - 1995
PB - Institute of Information Theory and Automation AS CR
VL - 31
IS - 3
SP - 221
EP - 237
LA - eng
KW - convolution theorem; information inequality; asymptotic estimation theory; superefficiency; convergence of bootstrap distributions
UR - http://eudml.org/doc/27876
ER -

References

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