Semiparametric empirical likelihood estimation for two-stage outcome-dependent sampling under the frame of generalized linear models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s10255-014-0410-z.pdf
Reference21 articles.
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2. Breslow, N.E., McNeney, B., Wellner, J.A. Large sample theory for semiparametric regression models with two-phase, outcome dependent sampling. The Annals of Statistics, 31: 1110–1139 (2003)
3. Chatterjee, N., Chen, Y.H., Breslow, N.E. A pseudo-score estimator for regression problems with two-phase sampling. Journal of the American Statistical Association, 98: 158–168 (2003)
4. Cosslett, S.R. Maximum likelihood estimator for choice-based samples. Econometrika, 49: 1289–1316 (1981)
5. Ding, J., Chen, X. Asymptotic properties of the maximum likelihood estimator in generalized linear models with stochastic regressors. Acta Mathematica Sinica, 22: 1679–1686 (2006)
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Empirical Likelihood Inference for Functional Coefficient ARCH-M Model;Acta Mathematica Sinica, English Series;2018-11-20
2. Statistical inference methods and applications of outcome-dependent sampling designs under generalized linear models;Science China Mathematics;2017-02-23
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