Comparative Assessment of Zero-Inflated Models with Application to HIV Exposed Infants Data

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ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org

"Comparative Assessment of Zero-Inflated Models with Application to HIV Exposed Infants Data"
written by Faith Nekesa, Collins Odhiambo, Linda Chaba,
published by Open Journal of Statistics, Vol.9 No.6, 2019

has been cited by the following article(s):

[1]	A comparison of statistical methods for modeling count data with an application to hospital length of stay
	BMC Medical …, 2022

[2]	ZERO-INFLATED POISSON REGRESSION MODELS: APPLICATIONS IN THE SCIENCES AND SOCIAL SCIENCES
	2021

[3]	The Zero Inflated Negative Binomial-Shanker Distribution and Its Application to HIV Exposed Infant Data
	2020

[4]	Introducing Hurdle_T as a Count Regression Model with High Potency in Solving Problems
	2020

[5]	Comparison of Statistical Methods for Modeling Count Data with an Application to Length of Hospital Stay
	2014

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