44 citations · 71 across the 16 of their papers we have counts for
7 papers · 1 filter
Liu-type Shrinkage Estimators for Mixture of Poisson Regressions with Experts: A Heart Disease Study
Elsayed Ghanem, Moein Yoosefi, Armin Hatefi
Count data play a critical role in medical research, such as heart disease. The Poisson regression model is a common technique for evaluating the impact of a set of covariates on t…
Bayesian Mixture Modelling with Ranked Set Samples
Amirhossein Alvandi, Sedigheh Omidvar, Armin Hatefi +3
We consider the Bayesian estimation of the parameters of a finite mixture model from independent order statistics arising from imperfect ranked set sampling designs. As a cost-effe…
Unsupervised Liu-type Shrinkage Estimators for Mixture of Regression Models
Elsayed Ghanem, Armin Hatefi, Hamid Usefi
In many applications (e.g., medical studies), the population of interest (e.g., disease status) comprises heterogeneous subpopulations. The mixture of probabilistic regression mode…
Liu-type Shrinkage Estimators for Mixture of Logistic Regressions: An Osteoporosis Study
Elsayed Ghanem, Armin Hatefi, Hamid Usefi
The logistic regression model is one of the most powerful statistical methods for the analysis of binary data. The logistic regression allows to use a set of covariates to explain…
Multiple Observers Ranked Set Samples for Shrinkage Estimators
Andrew David Pearce, Armin Hatefi
Ranked set sampling (RSS) is used as a powerful data collection technique for situations where measuring the study variable requires a costly and/or tedious process while the sampl…
Analysis of Ordinal Populations from Judgment Post-Stratification
Amirhossein Alvandi, Armin Hatefi
In surveys requiring cost efficiency, such as medical research, measuring the variable of interest (e.g., disease status) is expensive and/or time-consuming; However, we often have…
Proportion estimation based on a partially rank ordered set sample with multiple concomitants in a breast cancer study
Armin Hatefi, Mohammad Jafari Jozani
In this paper, we use partially rank-ordered set (PROS) sampling design with multiple concomitants in a breast cancer study and propose a method to estimate the proportion of patie…