Goodness-of-fit test for the family of logistic distributions.

N. Aguirre; Mikhail S. Nikulin

Qüestiió (1994)

  • Volume: 18, Issue: 3, page 317-335
  • ISSN: 0210-8054

Abstract

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Chi-squared goodness-of-fit test for the family of logistic distributions id proposed. Different methods of estimation of the unknown parameters θ of the family are compared. The problem of homogeneity is considered.

How to cite

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Aguirre, N., and Nikulin, Mikhail S.. "Goodness-of-fit test for the family of logistic distributions.." Qüestiió 18.3 (1994): 317-335. <http://eudml.org/doc/40403>.

@article{Aguirre1994,
abstract = {Chi-squared goodness-of-fit test for the family of logistic distributions id proposed. Different methods of estimation of the unknown parameters θ of the family are compared. The problem of homogeneity is considered.},
author = {Aguirre, N., Nikulin, Mikhail S.},
journal = {Qüestiió},
keywords = {logistic distribution; BAN estimator; methods of moments; maximum likelihood method; Chernoff-Lehmann theorem; MVUE; homogeneity problem; -squared test},
language = {eng},
number = {3},
pages = {317-335},
title = {Goodness-of-fit test for the family of logistic distributions.},
url = {http://eudml.org/doc/40403},
volume = {18},
year = {1994},
}

TY - JOUR
AU - Aguirre, N.
AU - Nikulin, Mikhail S.
TI - Goodness-of-fit test for the family of logistic distributions.
JO - Qüestiió
PY - 1994
VL - 18
IS - 3
SP - 317
EP - 335
AB - Chi-squared goodness-of-fit test for the family of logistic distributions id proposed. Different methods of estimation of the unknown parameters θ of the family are compared. The problem of homogeneity is considered.
LA - eng
KW - logistic distribution; BAN estimator; methods of moments; maximum likelihood method; Chernoff-Lehmann theorem; MVUE; homogeneity problem; -squared test
UR - http://eudml.org/doc/40403
ER -

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