Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 228,121,390 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
6 relations
Econometric model
Focused information criterion
Parametric model
Proportional hazards model
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Modeling the Short-Term Effect of Traffic and Meteorology on Air Pollution in Turin with Generalized Additive Models
P. Bertaccini
,
Vanja M. Dukic
,
R. Ignaccolo
2012
Corpus ID: 55825401
Vehicular traffic plays an important role in atmospheric pollution and can be used as one of the key predictors in air-quality…
Expand
2011
2011
Statistical inference on regression with spatial dependence
P. Robinson
,
Supachoke Thawornkaiwong
2011
Corpus ID: 122815695
2009
2009
Partial Identification of the Distribution of Treatment Effects in Switching Regime Models and its Confidence Sets
Yanqin Fan
,
Jisong Wu
2009
Corpus ID: 30383815
In this paper, we establish sharp bounds on the joint distribution of potential outcomes and the distribution of treatment…
Expand
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…
Expand
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
2004
2004
A semiparametric density estimation approach to pattern classification
F. Hoti
,
Lasse Holmström
Pattern Recognition
2004
Corpus ID: 6090862
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…
Expand
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…
Expand
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…
Expand
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…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE