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Fuzzy Semi-Parametric Logistic Quantile Regression Model [PDF]
Wasit Journal for Pure Sciences, 2023 In this paper, the fuzzy semi-parametric logistic quantile regression model was studied in the absence of special conditions in the classical regression models.
Ahmed Razzaq, Ayad H. shemaila
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Integration of Time‐Varying Pharmacometric Modeling With Cox Regression for Time‐to‐Event Analysis in NONMEM [PDF]
CPT: Pharmacometrics & Systems PharmacologyAlthough time‐varying Cox regression modeling approaches have been developed, exposure–response analyses for time‐to‐event (TTE) endpoints often rely on static exposure covariates and may overlook the real‐world dosing variability and drug concentration ...
Chih‐Wei Lin +3 more
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Energies, 2019 Compared to the load characteristics of normal working days, weekend load characteristics have a low level of load and are sensitive to meteorological conditions, which influences the accuracy of short-term weekend-load forecasting. To solve this problem
Bin Li +3 more
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A High Precision Accelerometer Calibration Method [PDF]
Hangkong bingqi, 2022 Centrifuge calibration can continuously provide centripetal acceleration of more than 1g, and can fully stimulate the high-order nonlinear term of accelerometer.
Lu Kewen, Wang Xinlong, Wang Bin, Nie Guanghao, Hu Xiaodong
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Mathematical and Computational Applications, 2022 This study aims to propose a flexible, fully parametric hazard-based regression model for censored time-to-event data with crossing survival curves. We call it the accelerated hazard (AH) model.
Abdisalam Hassan Muse +3 more
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Assessment of non-linearity in calorie–income relationship in Pakistan
Frontiers in Nutrition, 2022 This article considers the issue of assessing non-linearity in the relationship between calorie consumption and income using non-parametric and semi-parametric approaches.
Nadia Shabnam
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A Novel EM-Type Algorithm to Estimate Semi-Parametric Mixtures of Partially Linear Models
Mathematics, 2023 Semi- and non-parametric mixture of normal regression models are a flexible class of mixture of regression models. These models assume that the component mixing proportions, regression functions and/or variances are non-parametric functions of the ...
Sphiwe B. Skhosana +2 more
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Mathematics, 2022 We study the non-parametric estimation of partially linear generalized single-index functional models, where the systematic component of the model has a flexible functional semi-parametric form with a general link function.
Mohamed Alahiane +3 more
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Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF)
Stats, 2021 Single-index models are potentially important tools for multivariate non-parametric regression analysis. They generalize linear regression models by replacing the linear combination α0⊤X with a non-parametric component η0α0⊤X, where η0(·) is an unknown ...
Mohamed Alahiane +3 more
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Estimation of Critical Collapse Solutions to Black Holes with Nonlinear Statistical Models
Mathematics, 2022 The self-similar gravitational collapse solutions to the Einstein-axion–dilaton system have already been discovered. Those solutions become invariants after combining the spacetime dilation with the transformations of internal SL(2, R).
Ehsan Hatefi, Armin Hatefi
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