Results 221 to 230 of about 21,259 (260)

Semi-parametric estimation and condition-based maintenance

2011
International ...
Fouladirad, Mitra, Paroissin, Christian, Grall, Antoine   +2 more
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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
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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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A semi-parametric estimator of a risk distribution

Insurance: Mathematics and Economics, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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
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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
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan, Yan, Zhu, Lixing
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A Semi-Parametric Quantile Function Estimator for Use in Bootstrap Estimation Procedures

Statistics and Computing, 2002
In this note we develop a new quantile function estimator called the tail extrapolation quantile function estimator. The estimator behaves asymptotically exactly the same as the standard linear interpolation estimator. For finite samples there is small correction towards estimating the extreme quantiles.
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Semi Parametric Estimation of the Incubation Period of AIDS

1992
The incubation period distribution of AIDS is estimated from the grouped bivariate data which arises from a prevalent cohort study. A penalised likelihood approach is used to obtain smooth estimates of the incubation period distribution. We also examine how the individuals age at HIV infection and changes in the incubation period can be incorporated ...
Jeremy M. G. Taylor, Yun Chon
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