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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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A New Mixed Biased Estimator for Ill‐Conditioning Challenges in Linear Regression Model With Chemometrics Applications [PDF]
Analytical Science AdvancesIn linear regression models, the ordinary least squares (OLS) method is used to estimate the unknown regression coefficients. However, the OLS estimator may provide unreliable estimates in non‐orthogonal models.
Muhammad Amin +3 more
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A mixed distribution approach for low-flow frequency analysis – Part 2: Comparative assessment of a mixed probability vs. copula-based dependence framework [PDF]
Hydrology and Earth System Sciences, 2023 In climates with a warm and a cold season, low flows are generated by different processes, which violates the homogeneity assumption of extreme value statistics.
G. Laaha
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A new almost unbiased estimator in stochastic linear restriction model [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper, a new almost unbiased estimator is proposed under stochastic linear restrictions model as alternative to mixed estimator. The performance of the proposed estimator compared to mixed estimator is examined using the matrix mean squared ...
Mustafa Ismaeel Naif
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Barekeng, 2023 Research on innovations in the statistics and statistical computing program systems implemented in the health sector. The development of a mixed estimator model is an innovation of nonparametric regression analysis by combining two approaches in ...
Sifriyani Sifriyani +3 more
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The Mixed Liu Estimator in Stochastic Restricted Linear Measurement Error Model
Journal of Mathematics, 2021 Ghapani and Babdi [1] proposed a mixed Liu estimator in linear measurement error model with stochastic linear restrictions. In this article, we propose an alternative mixed Liu estimator in the linear measurement error model with stochastic linear ...
Jibo Wu
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Mathematics, 2022 Geographically Weighted Regression (GWR) is the development of multiple linear regression models used in spatial data. The assumption of spatial heterogeneity results in each location having different characteristics and allows the relationships between ...
Lilis Laome +2 more
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Mixed Model-Based Hazard Estimation [PDF]
Journal of Computational & Graphical Statistics, 2002 We propose a new method for estimation of the hazard function from a set of censored failure time data, with a view to extending the general approach to more complicated models. The approach is based on a mixed model representation of penalized spline hazard estimators.
Cai, T., Hyndman, R.J., Wand, M.P.
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On the mixed Kibria–Lukman estimator for the linear regression model
Scientific Reports, 2022 This paper considers a linear regression model with stochastic restrictions,we propose a new mixed Kibria–Lukman estimator by combining the mixed estimator and the Kibria–Lukman estimator.This new estimator is a general estimation, including OLS ...
Hongmei Chen, Jibo Wu
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Media Statistika, 2022 The response variable of the regression analysis has a linear relationship with one of the variable predictors, however the unknown relationship pattern with the other predictor variables.
Hesikumalasari Hesikumalasari +3 more
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