Weighted least squares estimates in partly linear regression models

Statistics and Probability Letters

Volumn 27, Issue 3, 1996, Pages 281-287

  Schick, Anton ^a  

^a BINGHAMTON UNIVERSITY   (United States)

Author keywords

Heteroscedasticity; Weighted least squares spline estimates

Indexed keywords

EID: 0030584968     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-7152(95)00086-0     Document Type: Article

References (6)

1. Buja, A. (1994), Discussion: the use of polynomial splines and their tensor products in multivariate function estimation by C.J. Stone, Ann. Statist. 22, 171-177.
2. Chen, H. (1988), Convergence rates for parametric components in a partly linear model. Ann. Statist. 16, 136-146.
3. Schick, A. (1987), A note on the construction of asymptotically linear estimators, J. Statist. Plann. Inference 16, 89-105. [Correction: (1989) 22, 269-270].
4. Schick, A. (1994a), Root-n consistent estimation in partly linear regression models.
5. Schick, A. (1994b), Efficient estimates in linear and nonlinear regression with heteroscedastic errors.
6. Schumaker. L.L. (1981), Spline Functions: Basic Theory (Interscience, Wiley, New York).