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Articles by Mohammad Arashi
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application
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High-dimensional semiparametric mixed-effects model for longitudinal data with non-normal errors
Advanced search Statistics A Journal of Theoretical and Applied Statistics Latest Articles Submit an article Journal homepage Full Article Figures & data References Supplemental Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/02331888.2024.2427805?needAccess=true Abstract Difficulties may arise when analyzing longitudinal data using mixed-effects models if nonparametric functions are present in the linear predictor component.
Robust Negative Binomial Regression via the Kibria-Lukman Strategy: Methodology and Application
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Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression
1. Introduction Regression is a widely employed statistical methodology across various fields with different variants, including parametric, semi-, and non-parametric approaches. Linear models remain attractive due to their interpretability and the availability of tools to handle diverse data types and validate theoretical assumptions.
Ridge-Type Pretest and Shrinkage Estimation Strategies in Spatial Error Models with an Application to a Real Data Example
1. Introduction Data collected over a geographic region may be generally more comparable than data from far away. This phenomenon can be modeled using a covariance structure in conventional statistical models. Spatial regression models, incorporating various spatial dependencies, are increasingly being used in geology, epidemiology, disease monitoring, urban planning, and econometrics. Time series autoregressive models represent data at time t as linear combinations of the most recent observations.
Ridge-Type Pretest and Shrinkage Estimation in Spatial Error Model: An Application to Housing Cost Data
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 7 December 2023 / Approved: 8 December 2023 / Online: 11 December 2023 (12:32:28 CET) Al-Momani, M.; Arashi, M. Ridge-Type Pretest and Shrinkage Estimation in Spatial Error Model: An Application to Housing Cost Data. Preprints 2023, 2023120644. https://doi.org/10.20944/preprints202312.0644.v1 Al-Momani, M.; Arashi, M.
Efficient Estimation and Validation of Shrinkage Estimators in Big Data Analytics
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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