A new Liu-type estimator in a mixed Poisson regression model [PDF]
Scientific ReportsMixed Poisson regression models (MPRMs) are widely used for analyzing overdispersed count data. However, the presence of multicollinearity among explanatory variables poses challenges when estimating regression coefficients using the maximum likelihood ...
Ohud A. Alqasem +4 more
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Liu -Type Estimator and Selection of Variables [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 In this paper we consider the generalized Liu-type estimator and combine it into subset selection criterion using Cp statistic. Our proposed method can be derived via natural extension of two well-known techniques: one is shrinkage estimators and the ...
Mustafa Ismaeel. Niaf
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Leverage and influential observations on the Liu type estimator in the linear regression model with the severe collinearity [PDF]
Heliyon, 2021 In the process of building a linear regression model, the essential part is to identify influential observations. Various influence measures involving Cook's distance and DFFITS are designed to detect the linear regression's influential observations ...
Hussein Eledum
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New two parameter hybrid estimator for zero inflated negative binomial regression models [PDF]
Scientific ReportsThe zero-inflated negative binomial regression (ZINBR) model is used for modeling count data that exhibit both overdispersion and zero-inflated counts. However, a persistent challenge in the efficient estimation of parameters within ZINBR models is the ...
Fatimah A. Almulhim +5 more
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Liu-type pretest and shrinkage estimation for the conditional autoregressive model.
PLoS ONE, 2023 Spatial regression models have recently received a lot of attention in a variety of fields to address the spatial autocorrelation effect. One important class of spatial models is the Conditional Autoregressive (CA). Theses models have been widely used to
Marwan Al-Momani
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SPISE Index (Single-Point Insulin Sensitivity Estimator): A Long-Term Predictor of Recurrence in Elderly Patients with Atrial Fibrillation After Radiofrequency Ablation [PDF]
Clinical Interventions in AgingZhen Wang,1,* Yilin Qu,2,* Hua Wang,1,* Xiao Liu1,* 1Cardiology Department, Yantai Yuhuangding Hospital, Affiliated with Qingdao University, Yantai, People’s Republic of China; 2Medical Record Information Department ...
Wang Z, Qu Y, Wang H, Liu X
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Association of Cumulative Average Uric Acid to HDL Cholesterol Ratio with the Risk of Rapidly Declining Renal Function: A Retrospective Community-Based Cohort Study in Shanghai Undertaken on Elderly Subjects with Hypertension and Type 2 Diabetes Mellitus Patients [PDF]
Risk Management and Healthcare PolicyShao-Feng Wang,1,* Feng Wang,2,* Yuan Wang,3 Hai-Ying Zhang,1 Jing-Wen Ling,1 Jin-Jin Shi,1 Si-Yu Qiao,3 Yang Liu,2 Yi-Hong Wei3 1Department of Internal Medicine, Chuansha Huaxia Community Health Service Center, Shanghai, 201299, People’s
Wang SF +8 more
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Estimation methods of logistic regression in context of multicollinearity (Comparative study) [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Tiǧāriyyaẗ, 2023 The binary logistic regression (BLR) model is used as an alternative to the commonly used linear regression model when the response variable is binary.
Hassan Mohamed Ali +2 more
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A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application
Frontiers in Applied Mathematics and Statistics, 2022 The beta regression is a widely known statistical model when the response (or the dependent) variable has the form of fractions or percentages. In most of the situations in beta regression, the explanatory variables are related to each other which is ...
Mohamed R. Abonazel +3 more
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Almost unbiased modified ridge-type estimator: An application to tourism sector data in Egypt
Heliyon, 2022 This paper introduces an almost unbiased modified ridge-type estimator (AUMRTE) to avoid problems arising from multicollinearity. This estimator has the important features of the two important shrinkage estimators, the modified ridge-type estimator (MRTE)
Tarek Mahmoud Omara
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