Inference in the Presence of Likelihood Monotonicity for Polytomous and Logistic Regression

ISSN Print: 2160-0368
ISSN Online: 2160-0384
www.scirp.net/journal/apm
E-mail: [email protected]

Citations

"Inference in the Presence of Likelihood Monotonicity for Polytomous and Logistic Regression"
written by John E. Kolassa,
published by Advances in Pure Mathematics, Vol.6 No.5, 2016

has been cited by the following article(s):

[1]	Bayesian solution to the monotone likelihood in the standard mixture cure model
	Statistica Neerlandica, 2023

[2]	Inference in the Presence of Likelihood Monotonicity for Proportional Hazards Regression
	2020

[3]	Package 'PHInfiniteEstimates'
	2020

[4]	Comparison of Naïve Bayes Algorithm and Decision Tree C4. 5 for Hospital Readmission Diabetes Patients using HbA1c Measurement.
	Knowl. Eng. Data Sci., 2019

[5]	Comparison of Naïve Bayes Algorithm and Decision Tree C4. 5 for Hospital Readmission Diabetes Patients using HbA1c Measurement
	2019

[1]	Inference in the presence of likelihood monotonicity for proportional hazards regression Statistica Neerlandica, 2023 DOI:10.1111/stan.12287

[2]	Bayesian solution to the monotone likelihood in the standard mixture cure model Statistica Neerlandica, 2023 DOI:10.1111/stan.12289

[3]	2020 DOI:10.32614/CRAN.package.PHInfiniteEstimates