Results 261 to 270 of about 4,577,308 (305)

Estimation in Semi-parametric and Additive Regression Using Smoothing and Regression Spline

2010 Second International Conference on Computer Research and Development, 2010
In this paper, we try to investigate how the current account to gross domestic product (CAGDP) ratio in Turkey reacts to variations in the real effective exchange rate (REER) over the period of 1991:Q4-2007:Q3. For this purpose, we consider two different nonparametric regression models.
Aydın, Dursun, Tuzemen, M. S.
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Forecasting Coke's Price by Combination Semi-Parametric Regression Model

Information Resources Management Journal, 2022
According to the characteristics of consumption of coke, the article utilized combination semi-parametric regression method rather than usual regression analysis to forecast the coke's price. Coke' price was divided into two parts. Parameter part was analyzed through error correction model and BP artificial neural network.
Jiaojiao Li, Linfeng Zhao
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A Semi-Parametric Mode Regression with Censored Data

Mathematical Methods of Statistics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A new algorithm for fitting semi-parametric variance regression models

Computational Statistics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kristy P. Robledo, Ian C. Marschner
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Estimation of general semi-parametric quantile regression

Journal of Statistical Planning and Inference, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan, Yan, Zhu, Lixing
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A semi-parametric censored regression estimator

Journal of Econometrics, 1986
In a censored regression model \(y_ i=X^ T_ i \beta +\epsilon_ i\), if \(\epsilon_ i>-X^ T_ i \beta\), \(i=1,...,N\), and \(y_ i=0\), otherwise, the \(\epsilon_ i\) are assumed to be i.i.d., absolutely continuous, \(E(\epsilon_ i)=0\), \(E(\epsilon^ 2_ i)=\sigma^ 2\).
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Semi-parametric additive constrained regression

Journal of Nonparametric Statistics, 2013
The additive isotonic least-squares regression model has been fit using a sequential pooled adjacent violators algorithm, estimating each isotonic component in turn, and looping until convergence. However, the individual components are not, in general, estimable. The sum of the components, i.e. the expected value of the response, has a unique estimate,
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Penalized Likelihood for General Semi-Parametric Regression Models

International Statistical Review / Revue Internationale de Statistique, 1987
This paper examines penalized likelihood estimation in the context of general regression problems, characterized as probability models with composite likelihood functions. The emphasis is on the common situation where a parametric model is considered satisfactory but for inhomogeneity with respect to a few extra variables.
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Semi-parametric Bayesian regression for subgroup analysis in clinical trials

Journal of Biopharmaceutical Statistics, 2019
Determining whether there are differential treatment effects in subgroups of trial participants remains an important topic in clinical trials as precision medicine becomes ever more relevant. Any assessment of differential treatment effect is predicated on being able to estimate the treatment response accurately while satisfying constraints of ...
Margaret, Gamalo-Siebers, Ram, Tiwari
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A semi‐parametric regression analysis of CD4 cell counts

Statistics in Medicine, 2001
AbstractThis paper considers the regression analysis of CD4 cell counts, a commonly used indicator and prognostic factor of AIDS progression. For this purpose, a number of methods have been proposed and most of them are based on random effects models. We present an alternative that is based on a mean function regression model.
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