Results 51 to 60 of about 197,245 (124)
Kibria-Lukman Hybrid Estimator for the Conway–Maxwell–Poisson Regression Model [PDF]
The Conway-Maxwell-Poisson regression (CMPR) model provides a flexi- ble framework for analyzing count data in cases of over- and under-dispersion. Estimating the parameter in CMPR typically relies on the maximum likeli- hood estimator (MLE), which can ...
Alrweili, Hleil; Department of Mathematics, College of Science, Northern Border University, Arar
core +1 more source
Almon-KL estimator for the distributed lag model [PDF]
, 2021 The Almon technique is widely used to estimate the parameters of the distributed lag model (DLM). The technique suffers a setback from the challenge of multicollinearity because the explanatory variables and their lagged values are often correlated.
Lukman, Adewale F. +3 more
core +1 more source
A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model
, 2020 In a multiple linear regression model, the ordinary least squares estimator is inefficient when the multicollinearity problem exists. Many authors have proposed different estimators to overcome the multicollinearity problem for linear regression models ...
B. M. Golam Kibria, Issam Dawoud
core +1 more source
Implementasi regresi Ridge menggunakan estimator parameter Kibria [PDF]
, 2021 INDONESIA: Harga saham dalam perekonomian, khususnya di Indonesia, memiliki peran penting sehingga banyak orang yang ingin mendapatkan keuntungan dari berinvestasi saham.
Royani, Mega Nur
core
StatsIn logistic regression with finite binary samples and multicollinear predictors, the maximum likelihood estimator often results in overfitting and high mean squared error (MSE).
Sultana Mubarika Rahman Chowdhury +2 more
doaj +1 more source
Monte Carlo study of some classification-based ridge parameter estimators [PDF]
, 2017 Ridge estimator in linear regression model requires a ridge parameter, K, of which many have been proposed. In this study, estimators based on Dorugade (2014) and Adnan et al.
Lukman, A. F. +2 more
core +3 more sources
A Comparative Study of Some Two –Parameter Ridge-Type and Liu-Type Estimators to Combat Multicollinearity Problem in Regression Models: Simulation and Application [PDF]
المجلة العلمية للاقتصاد والتجارةIn multiple linear regression analysis, the ordinary least squares (OLS) method has been the most popular technique for estimating parameters of linear regression model due to its optimal properties.
Wael Saad Hsanein El-doakly
doaj +1 more source
Research in StatisticsIn linear regression, when predictors exhibit collinearity, the problem of multicollinearity arises, leading to a reduction in the efficiency of the ordinary least squares (OLS) estimator.
Qamruz Zaman +4 more
doaj +1 more source
THEORY OF DEFENSE POLICY IMPLEMENTATION OF LUKMAN YUDHO PRAKOSO
, 2023 Lukman Yudho Prakoso (2016) on dissertation research regarding the Performance Accountability System of Government Agencies (SAKIP), which states that the implementation of the policy can be achieved well if it fulfills the Integrative factor ...
Lukman Prakoso (11513074)
core +1 more source
Asian Research Journal of MathematicsAlthough linear regression is frequently used in predictive analysis, the Ordinary Least Squares (OLS) estimator's accuracy is decreased by multicollinearity and outliers. In order to offer a reliable substitute, this study suggests the Jackknife Kibria-Lukman (JKL) M-Estimator, which combines Ridge shrinkage, Jackknife resampling, and M-estimation. In
Ayanlowo, E.A +3 more
openaire +1 more source