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Search: subject:"random coefficients regression"
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random coefficients regression
3
Asymptotic distribution
2
boundary
2
extremum estimator
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inequality restrictions
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maximum likelihood estimator
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parameter restrictions
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quasi-maximum likelihood estimator
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restricted estimator
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Computerized tomography
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GARCH model
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GARCH(1
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Radon transform
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Wald test
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conditional heteroskedasticity
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equality restrictions
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fast Fourier transform
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generalized method of moments estimator
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integrated regressors
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least squares estimator
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likelihood ratio test
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local power
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locally asymptotically mixed normal
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locally asymptotically normal
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method of simulated moments estimator
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non-parametric likelihood
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nonlinear equality and inequality restrictions
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partially linear model
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positron emission tomography
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projection-slice theorem
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q*) model
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quasi-likelihood ratio test
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regularization
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score test
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semiparametric estimator
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smoothed EM algorithm
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stochastic trends
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English
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Andrews, Donald W.K.
2
Feuerverger, Andrey
1
Vardi, Yehuda
1
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Cowles Foundation for Research in Economics, Yale University
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Cowles Foundation Discussion Papers
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Annals of the Institute of Statistical Mathematics
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Testing When a Parameter Is on the Boundary of the Maintained Hypothesis
Andrews, Donald W.K.
-
Cowles Foundation for Research in Economics, Yale University
-
1999
equal to zero in a
random
coefficients
regression
model with (possibly) correlated random coefficients. …
Persistent link: https://www.econbiz.de/10005762641
Saved in:
2
Estimation When a Parameter Is on a Boundary: Theory and Applications
Andrews, Donald W.K.
-
Cowles Foundation for Research in Economics, Yale University
-
1997
paper are: (1) quasi-ML estimation of a
random
coefficients
regression
model with some coefficient variances equal to zero …
Persistent link: https://www.econbiz.de/10004990737
Saved in:
3
Positron Emission Tomography and
Random
Coefficients
Regression
Feuerverger, Andrey
;
Vardi, Yehuda
- In:
Annals of the Institute of Statistical Mathematics
52
(
2000
)
1
,
pp. 123-138
Persistent link: https://www.econbiz.de/10005616189
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