Smoothing combined estimating equations in quantile regression for longitudinal data
β Scribed by Leng, Chenlei; Zhang, Weiping
- Book ID
- 120001937
- Publisher
- Springer US
- Year
- 2012
- Tongue
- English
- Weight
- 603 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0960-3174
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Liang and Zeger introduced a class of estimating equations that gives consistent estimates of regression parameters and of their variances in the class of generalized linear models for longitudinal data. When the response variable in such models is subject to overdispersion, the oerdispersion parame
Accuracy of the normal approximation for Speckman's kernel smoothing estimator of the parametric component ; in the semiparametric regression model y=x { ;+ g(t)+e is studied when the bandwidth used in the estimator is selected by a general data-based method which includes such commonly used bandwid