Results 241 to 250 of about 4,819,578 (314)
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Modified Almost Unbiased Liu Estimator in Linear Regression Model
Communications in Mathematics and Statistics, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arumairajan, Sivarajah +1 more
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Modified almost unbiased Liu estimator in logistic regression
Communications in Statistics - Simulation and Computation, 2019This paper focuses on introducing a new parameter estimator to the logistic regression model when the multicollinearity presents.
Nagarajah Varathan +1 more
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Robust Liu‐type estimator based on GM estimator
Statistica Neerlandica, 2023Ordinary Least Squares Estimator (OLSE) is widely used to estimate parameters in regression analysis. In practice, the assumptions of regression analysis are often not met. The most common problems that break these assumptions are outliers and multicollinearity problems. As a result of these problems, OLSE loses efficiency.
Melike Işılar, Y. Murat Bulut
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New modified two-parameter Liu estimator for the Conway–Maxwell Poisson regression model
Journal of Statistical Computation and Simulation, 2023The Conway–Maxwell–Poisson (COMP) model is one of the count data regression models used in over- and underdispersion cases. Thus, COMP regression is a flexible model in the count data models. In the regression analysis, when the explanatory variables are
M. R. Abonazel
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Extending the Liu estimator for the Cox proportional hazards regression model with multicollinearity
Communications in statistics. Simulation and computation, 2023In this article, we present the Liu estimator for the Cox proportional hazards (PH) model. The maximum partial likelihood estimator (MPLE) is commonly used for estimation of the coefficients of the Cox PH model.
S. Ahmad +2 more
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Communications in statistics. Simulation and computation, 2023
It is a fact that the problem of multicollinearity adversely effects the estimation of parameters not only in normal linear models but also in generalized linear models (GLMs).
Atıf Abbası, M. Özkale
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It is a fact that the problem of multicollinearity adversely effects the estimation of parameters not only in normal linear models but also in generalized linear models (GLMs).
Atıf Abbası, M. Özkale
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A modified one parameter Liu estimator for Conway-Maxwell Poisson response model
Journal of Statistical Computation and Simulation, 2022The maximum likelihood estimator (MLE) is generally used to estimate the Conway Maxwell Poisson regression model (COMPRM). When the explanatory variables are highly correlated, then the MLE results are not valid. In this study, we proposed a modified one-
Faiza Sami +4 more
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A new improved Liu estimator for the QSAR model with inverse Gaussian response
Communications in statistics. Simulation and computation, 2022The regression model is one of the important quantitative structure-activity relationship (QSAR) model tools that is used chiefly in chemometrics studies.
M. Akram +5 more
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A robust Liu regression estimator
Communications in Statistics - Simulation and Computation, 2017The least-squares regression estimator can be very sensitive in the presence of multicollinearity and outliers in the data. We introduce a new robust estimator based on the MM estimator.
Filzmoser, Peter, KURNAZ, Fatma Sevinç
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Liu-Type Multinomial Logistic Estimator
Sankhya B, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohamed R. Abonazel, Rasha A. Farghali
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