Nonlinear regression models with general distortion measurement errors
Journal of Statistical Computation and Simulation, 2019 This paper considers nonlinear regression models when neither the response variable nor the covariates can be directly observed, but are measured with both multiplicative and additive distortion measurement errors. We propose conditional variance and conditional mean calibration estimation methods for the unobserved variables, then a nonlinear least ...
Jun Zhang, Bingqing Lin, Gaorong Li
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Association between weekday of surgery and length of hospital stay among patients undergoing primary total knee arthroplasty in Singapore: a secondary analysis based on a retrospective cohort study [PDF]
Journal of Orthopaedic Surgery and ResearchBackground Total knee arthroplasty (TKA) demand is increasing globally, necessitating the optimization of hospital length of stay (LOS) to increase efficiency.
Yinping Liu +3 more
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Bias of LS estimators in nonlinear regression models with constraints. PartI: general case [PDF]
Applications of Mathematics, 1999 An asymptotic approximation of the bias of least squares estimators in nonlinear regression models with parameters which are subject to nonlinear equality constraints is derived. The normality of the observation vector is assumed, however under some conditions the results are valid for non-normal distribution as well.
A. Pázman, J.B. Denis
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M-procedures in the general multivariate nonlinear regression model
, 2010 1
Víctor Leiva +3 more
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General Nonlinear Function-on-Function Regression via Functional Universal Approximation
Journal of Computational and Graphical Statistics, 2023 Ruiyan Luo, Xin Qi
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General Framework for Nonlinear Functional Regression with Reproducing Kernel Hilbert Spaces
, 2009 In this paper, we discuss concepts and methods of nonlinear regression for functional data. The focus is on the case where covariates and responses are functions. We present a general framework for modelling functional regression problem in the Reproducing Kernel Hilbert Space (RKHS).
Hachem Kadri +4 more
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“Trust but verify” financial inclusion in the MENA region
Borsa Istanbul Review, 2023 Using data from the World Value and Financial Access Surveys from 2010 to 2021 in 13 countries in the Middle East and North African (MENA) region, this study investigates the nonlinear impact of general trust (GT) and confidence in banks (CIB) on ...
Yousef Damra +2 more
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Partially Linear Additive Hazards Regression for Bivariate Interval-Censored Data
Axioms, 2023 In this paper, we discuss regression analysis of bivariate interval-censored failure time data that often occur in biomedical and epidemiological studies. To solve this problem, we propose a kind of general and flexible copula-based semiparametric partly
Ximeng Zhang +3 more
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Beta regression model nonlinear in the parameters with additive measurement errors in variables.
PLoS ONE, 2021 We propose in this paper a general class of nonlinear beta regression models with measurement errors. The motivation for proposing this model arose from a real problem we shall discuss here. The application concerns a usual oil refinery process where the
Daniele de Brito Trindade +4 more
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Nonparametric Pointwise Estimation for a Regression Model with Multiplicative Noise
Journal of Function Spaces, 2021 In this paper, we consider a general nonparametric regression estimation model with the feature of having multiplicative noise. We propose a linear estimator and nonlinear estimator by wavelet method.
Jia Chen, Junke Kou
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