Results 221 to 230 of about 20,242 (260)

Concomitant information in bioassay and semi-parametric estimation

Statistics in Medicine, 2005
This paper presents a flexible modern approach to handling concomitant information for estimating the relative potency parameter in quantitative bioassays. This is accomplished in a semi-parametric framework where the concomitant variable is included non-parametrically.
Peter T, Kim, Christine H, Lee
openaire   +2 more sources

Estimation of reliability with semi-parametric modeling of degradation

Computational Statistics & Data Analysis, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Prajamitra Bhuyan, Debasis Sengupta
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Semi-parametric estimation and condition-based maintenance

2011
International ...
Fouladirad, Mitra, Paroissin, Christian, Grall, Antoine   +2 more
openaire   +3 more sources

Semi-parametric estimation of disequilibrium models

Econometric Reviews, 1996
This paper presents an easy-to-compute semi-parametric (SP) method to estimate a simple disequilibrium model proposed by Fair and Jaffee (1972). The proposed approach is based on a non-parametric interpretation of the EM (Expectation and Maximization) principle (Dempster et al; 1977) and the least squares method.
Weiren Wang, Mai Zhou
openaire   +1 more source

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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A semi-parametric estimator of a risk distribution

Insurance: Mathematics and Economics, 1993
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Semi-parametric estimation of growth curves

2023
Sigmoidal curves, very common in epidemiology and biology, have traditionally been fitted using parametric models or fully non-parametric approaches like splines. In this paper, we propose a semi-parametric approach which is flexible enough to capture several sigmoidal shapes.
Chiara Di Maria, Vito Muggeo
openaire   +1 more source

Estimating functions in semi-parametric models

1991
Abstract Suppose we have a random sample from a distribution which is only known to belong to some non-parametric family and we wish to estimate some parameter of this distribution. Under some regularity conditions this parameter can be estimated in a rate.
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Estimating Semi-Parametric Missing Values with Iterative Imputation

International Journal of Data Warehousing and Mining, 2010
In this paper, the author designs an efficient method for imputing iteratively missing target values with semi-parametric kernel regression imputation, known as the semi-parametric iterative imputation algorithm (SIIA). While there is little prior knowledge on the datasets, the proposed iterative imputation method, which impute each missing value ...
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Estimation of general semi-parametric quantile regression

Journal of Statistical Planning and Inference, 2013
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Fan, Yan, Zhu, Lixing
openaire   +1 more source