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Semiparametric model
Known as:
Semi-parametric model
, Seminonparametric
, Semiparametric
In statistics, a semiparametric model is a statistical model that has parametric and nonparametric components. A statistical model is a collection of…
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Related topics
Related topics
6 relations
Econometric model
Focused information criterion
Parametric model
Proportional hazards model
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Statistical inference on regression with spatial dependence
P. Robinson
,
Supachoke Thawornkaiwong
2011
Corpus ID: 122815695
2010
2010
Semiparametric estimation of outbreak regression
M. Frisén
,
E. Andersson
,
Kjell Pettersson
2010
Corpus ID: 53504697
A regression may be constant for small values of the independent variable (for example time), but then a monotonic increase…
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2008
2008
Combining regression and estimation by analogy in a semi-parametric model for software cost estimation
N. Mittas
,
L. Angelis
International Symposium on Empirical Software…
2008
Corpus ID: 12940715
Software Cost Estimation is the task of predicting the effort or productivity required to complete a software project. Two of the…
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2007
2007
Bayesian semiparametric analysis for a single item maintenance optimization
P. Damien
,
Alexander Galenko
,
E. Popova
,
T. Hanson
European Journal of Operational Research
2007
Corpus ID: 8502435
2007
2007
A General Class of Parametric Models for Recurrent Event Data
IV RussellS.Stocker
,
Edsel A. Peña
Technometrics
2007
Corpus ID: 207015809
The general class of models proposed by Peña and Hollander for recurrent event data is considered under a fully parametric…
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Review
2004
Review
2004
Regional or educational disparities? a counterfactual exercise
P. Ferreira
,
M. A. Salvato
,
A. Duarte
2004
Corpus ID: 153581105
This work investigates the impact of schooling Oil income distribution in statesjregions of Brazil. Using a semi-parametric model…
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2003
2003
Bootstrap simulations for evaluating the uncertainty associated with peaks‐over‐threshold estimates of extreme wind velocity
M. Pandey
,
P. van Gelder
,
J. Vrijling
2003
Corpus ID: 16967761
In the peaks‐over‐threshold (POT) method of extreme quantile estimation, the selection of a suitable threshold is critical to…
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2002
2002
Estimation of Long Memory in the Presence of a Smooth Nonparametric Trend
Clifford M. Hurvich
,
G. Lang
,
P. Soulier
2002
Corpus ID: 58915974
We consider semiparametric estimation of the long-memory parameter of a stationary process in the presence of an additive…
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1996
1996
How firm-specific is German apprenticeship training?
A. Werwatz
1996
Corpus ID: 15812818
Firms participating in the German apprenticeship system do so voluntarily. Previous studies have found that on the average…
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1988
1988
Semiparametric M-Estimation of Censored Linear Regression Models
J. Horowitz
1988
Corpus ID: 115699963
Quantile and semiparametric M estimation are methods for estimating a censored linear regression model without assuming that the…
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