Results 31 to 40 of about 6,937 (202)
Semiparametric Additive Beta Regression Models
In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
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Multivariate “Bayesian” regression via a shared component model has gained popularity in recent years, particularly in modeling and mapping the risks associated with multiple diseases.
I. Gede Nyoman Mindra Jaya +5 more
doaj +1 more source
Robust-BD Estimation and Inference for General Partially Linear Models
The classical quadratic loss for the partially linear model (PLM) and the likelihood function for the generalized PLM are not resistant to outliers. This inspires us to propose a class of “robust-Bregman divergence (BD)” estimators of both the parametric
Chunming Zhang, Zhengjun Zhang
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Confidence interval estimation is important in statistical inference for the parameters of the regression model, but the theory of confidence interval estimation for multi-response semiparametric regression model parameters based on the truncated spline ...
Lilik Hidayati +2 more
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Robust Variable Selection for Single-Index Varying-Coefficient Model with Missing Data in Covariates
As applied sciences grow by leaps and bounds, semiparametric regression analyses have broad applications in various fields, such as engineering, finance, medicine, and public health.
Yunquan Song, Yaqi Liu, Hang Su
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A Semiparametric Multilevel Survival Model
SummaryWe propose a semiparametric multilevel survival model for clustered duration data in which the effect of a continuous covariate is represented by an unspecified, possibly non-linear, function. This model makes no distributional assumption about the cluster level random effects.
Zhang, Wenyang, Steele, Fiona
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Estimation of a semiparametric transformation model
This paper proposes consistent estimators for transformation parameters in semiparametric models. The problem is to find the optimal transformation into the space of models with a predetermined regression structure like additive or multiplicative separability.
Linton, Oliver +2 more
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ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source
Sparse Semi-Functional Partial Linear Single-Index Regression
The variable selection problem is studied in the sparse semi-functional partial linear model, with single-index type influence of the functional covariate in the response. The penalized least squares procedure is employed for this task.
Silvia Novo +2 more
doaj +1 more source
ABSTRACT Small enterprises (SEs) constitute a major component of economic systems, and their socio‐environmental commitment is critical for promoting societal well‐being. This paper examines the direct effect of sound financial practices on socio‐environmental commitment and evaluates the mediating role of financial constraints—specifically debt and ...
Marcos Álvarez‐Espiño +2 more
wiley +1 more source

