Bandwidth selection for power optimality in a test of equality of regression curves

Statistics and Probability Letters

Volumn 37, Issue 3, 1998, Pages 287-293

  Kulasekera, K B ^a   Wang, J ^a  

^a CLEMSON UNIVERSITY   (United States)

Author keywords

Design variables; Kernel estimator; Nonparametric test

Indexed keywords

EID: 0032536673     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0167-7152(97)84155-7     Document Type: Article

References (6)

1. Eubank, R.L., 1988. Spline Smoothing and Nonparametric Regression. Marcel Dekker, New York.
2. Fan, J., 1992. Design adaptive nonparametric regression. J. Am. Statist. Assoc. 87, 998-1004.
3. Hall, P., Kay, J.W., Tirterington, D.M., 1990. Asymptotically optimal difference based estimation of variance in nonparametric regression. Biometrika 77, 521-528.
4. King, E.G., Hart, J.D., Wehrly, T.E., 1991. Testing the equality of two regression curves using linear smoothers. Statist. Probab. Lett. 12, 239-247.
5. Kulasekera, K.B., Wang, J., 1996. Smoothing parameter selection for power optimality in testing of regression curves. J. Am. Statist. Assoc., accepted.
6. Müller, H-G., 1987. Nonparametric Regression Analysis of Longitudinal Data. Springer, Berlin.