Simulated Minimum Hellinger Distance Inference Methods for Count Data

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.net/journal/ojs
E-mail: [email protected]

Citations

"Simulated Minimum Hellinger Distance Inference Methods for Count Data"
written by Andrew Luong, Claire Bilodeau, Christopher Blier-Wong,
published by Open Journal of Statistics, Vol.8 No.1, 2018

has been cited by the following article(s):

[1]	Generalized Method of Moments and Generalized Estimating Functions Based on Probability Generating Function for Count Models
	2020

[2]	Minimum Quadratic Distance Methods Using Grouped Data for Parametric Families of Copulas
	2018

[3]	Simulated Minimum Quadratic Distance Methods Using Grouped Data for Some Bivariate Continuous Models
	2018

[4]	Asymptotic Normality Distribution of Simulated Minimum Hellinger Distance Estimators for Continuous Models
	2018

[1]	Generalized Method of Moments and Generalized Estimating Functions Based on Probability Generating Function for Count Models Open Journal of Statistics, 2020 DOI:10.4236/ojs.2020.103031

[2]	Minimum Quadratic Distance Methods Using Grouped Data for Parametric Families of Copulas Open Journal of Statistics, 2018 DOI:10.4236/ojs.2018.83028

[3]	Simulated Minimum Quadratic Distance Methods Using Grouped Data for Some Bivariate Continuous Models Open Journal of Statistics, 2018 DOI:10.4236/ojs.2018.82024

[4]	Asymptotic Normality Distribution of Simulated Minimum Hellinger Distance Estimators for Continuous Models Open Journal of Statistics, 2018 DOI:10.4236/ojs.2018.85056

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