Mean and median bias reduction in generalized linear models-Reference-Cited by-同舟云学术

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Mean and median bias reduction in generalized linear models

Published:2019-03-04 Issue:1 Volume:30 Page:43-59
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Kosmidis Ioannis^ORCID,Kenne Pagui Euloge Clovis^ORCID,Sartori Nicola^ORCID

Funder

The Alan Turing Institute

Italian Ministry of Education

University of Padova

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11222-019-09860-6.pdf

Reference34 articles.

1. Agresti, A.: Categorical Data Analysis. Wiley, New York (2002)

2. Albert, A., Anderson, J.A.: On the existence of maximum likelihood estimates in logistic regression models. Biometrika 71(1), 1–10 (1984)

3. Barndorff-Nielsen, O.: On a formula for the distribution of the maximum likelihood estimator. Biometrika 70(2), 343–365 (1983)

4. Brazzale, A., Davison, A., Reid, N.: Applied Asymptotics: Case Studies in Small-Sample Statistics. Cambridge University Press, Cambridge (2007)

5. Bull, S.B., Mak, C., Greenwood, C.M.: A modified score function estimator for multinomial logistic regression in small samples. Comput. Stat. Data Anal. 39(1), 57–74 (2002)

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