Properties of the Maximum Likelihood Estimates and Bias Reduction for Logistic Regression Model

Journals Menu

Follow SCIRP

ISSN Print: 2333-9705
ISSN Online: 2333-9721
www.scirp.org/journal/oalibj
E-mail: service@oalib.com

"Properties of the Maximum Likelihood Estimates and Bias Reduction for Logistic Regression Model"
written by Nuri H. Salem Badi,
published by Open Access Library Journal, Vol.4 No.5, 2017

has been cited by the following article(s):

[1]	Willingness to Pay dan Karakteristik Konsumen Daging Ayam Halal Berdasarkan Pendekatan Pasar Hipotetik
	ANOA: Journal of Animal Husbandry, 2022

[2]	The Behaviour of the Dispersion Matrix of the Information Matrix Test under the Wrong Logistic Regression Model
	2021

[3]	The parameter estimation of logistic regression with maximum likelihood method and score function modification
	2021

[4]	The Maximum Likelihood Estimates with Wrong Logistic Regression Model and Covariate Assumptions are Violated
	American Journal of Mathematics and Statistics, 2021

[5]	Indirect and neuropsychological indicators of pedophilia
	2020

[6]	Comparison of penalized logistic regression models for rare event case
	2019

[7]	Using machine learning methods to improve chronic disease case definitions in primary care electronic medical records
	2018

Follow SCIRP

[1]	GIS-Based Identification of Locations in Water Distribution Networks Vulnerable to Leakage Applied Sciences, 2023 DOI:10.3390/app13084692

[2]	Comparison of penalized logistic regression models for rare event case Communications in Statistics - Simulation and Computation, 2022 DOI:10.1080/03610918.2019.1676438