Probit Model on Multivariate Binary Response Using Simulated Maximum Likelihood Estimator

[PDF] mdpi.com

A Comparison of Bivariate Zero-Inflated Poisson Inverse Gaussian Regression Models with and without Exposure Variables

E Ermawati, P Purhadi, SP Rahayu - Symmetry, 2022 - mdpi.com
In this paper, we focus on the comparison of the bivariate zero-inflated Poisson inverse
Gaussian regression (BZIPIGR) type II model in two cases: with and without exposure …
被引用次数：1 相关文章 所有 6 个版本

Parameter estimation and statistical test on zero inflated Poisson inverse Gaussian regression model

E Ermawati, P Purhadi, SP Rahayu - AIP Conference Proceedings, 2023 - pubs.aip.org
The over dispersion case is one of the assumptions that violated in the data count model
using Poisson regression, which was caused by the presence of many zero values (more …
相关文章 所有 4 个版本

Parameter estimation and statistical test on bivariate zero inflated Poisson Inverse Gaussian with exposure variable

E Ermawati, P Purhadi, SP Rahayu - AIP Conference Proceedings, 2022 - pubs.aip.org
This research focused on parameter estimation and hypothesis testing of Bivariate Zero-
Inflated Poisson Inverse Gaussian Regression (BZIPIGR) type II. BZIPIGR model is a mixed …
相关文章 所有 4 个版本
[PDF] uii.ac.id

[PDF][PDF] Comparison Of Logit Model And Probit Model On Multivariate Binary Response

J Nugraha - 2013 - dspace.uii.ac.id
On univariate binary response, Logit model is better interpretation compared to Probit
model. Logit model and Probit model may be used to analyze same data sets for the same …
被引用次数：1 相关文章 所有 3 个版本
[PDF] uii.ac.id

[PDF][PDF] 34-Comparison of

J Nugraha - pak.uii.ac.id
On univariate binary response, Logit model is better interpretation compared to Probit
model. Logit model and Probit model may be used to analyze same data sets for the same …
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