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]
Background 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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“Trust but verify” financial inclusion in the MENA region
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
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.
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
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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Parametric Elliptical Regression Quantiles
The article extends linear and nonlinear quantile regression to the case of vector responses by generalizing multivariate elliptical quantiles to a regression context.
Daniel Hlubinka , Miroslav Šiman
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Simultaneous Regression and Selection in Nonlinear Modal Model Identification
High fidelity finite element (FE) models are widely used to simulate the dynamic responses of geometrically nonlinear structures. The high computational cost of running long time duration analyses, however, has made nonlinear reduced order models (ROMs ...
Christopher Van Damme +3 more
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Seasonal prediction of winter extreme precipitation over Canada by support vector regression [PDF]
For forecasting the maximum 5-day accumulated precipitation over the winter season at lead times of 3, 6, 9 and 12 months over Canada from 1950 to 2007, two nonlinear and two linear regression models were used, where the models were support vector ...
Z. Zeng +3 more
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The diameter at breast height (DBH) is the most important independent variable in biomass allometry models based on metabolic scaling theory (MST) or geometric theory. However, the fixed position DBH can be misleading in its use of universal scaling laws
Dongzhi Wang +3 more
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Pendeteksian Outlier pada Regresi Nonlinier dengan Metode statistik Likelihood Displacement
Outlier is an observation that much different (extreme) from the other observational data, or data can be interpreted that do not follow the general pattern of the model. Sometimes outliers provide information that can not be provided by other data. That'
Siti Tabi'atul Hasanah
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