Abstract
Professor Feigelson has given a very lucid survey of the current use of survival analysis methods in the astronomical literature, as well as pointing to a number of interesting areas for potential methodological research.
Department of Statistics, University of California, Berkeley CA 94720.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Campbell, G. Nonparametric estimation with randomly censored bivari-ate data. Biometrika, 68, 417–422, 1981.
Campbell, G. and Foldes, A. Large-sample properties of non-parametric bivariate estimators with censored data. Nonparametric Statistical Inference, B.V. Gnedenko. M.L. Puri, and I. Vincze, eds., North Holland, Amsterdam, 1982.
Chang, M.N. Weak convergence of a self consistent estimator of the survival function with doubly censored data. Ann. Statist., 18, 391–404, 1990.
Dabrowska, D. Kaplan Meier estimate on the plane. Ann. Statist., 16, 1475–1489, 1988.
Pruitt R. C. Bivariate survival curve estimation using non-parametric smoothing techniques. Technical Report No. 543, School of Statistics, University of Minnesota, Minneapolis, MN, 1990.
Schmitt, J.M.M., Statistical Analysis of Astronomical Data Containing Upper Bounds: General Methods and Examples Drawn from X-Ray Astronomy. Astrophys. J. 293, 178, 1985.
Turnbull, B.W. Nonparametric estimation of a survivorship function with doubly censored data. J. Amer. Statist. Assoc, 69, 169–173, 1974.
Van Der Laan, M. Analysis of Pruitt’s estimator of the bivariate survival function. Preprint 648. University of Utrecht, Utrecht, Netherlands, 1991.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
Feigelson, E.D., Babu, G.J. (1992). Discussion by P.J. Bickel and Y. Ritov. In: Feigelson, E.D., Babu, G.J. (eds) Statistical Challenges in Modern Astronomy. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9290-3_25
Download citation
DOI: https://doi.org/10.1007/978-1-4613-9290-3_25
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4613-9292-7
Online ISBN: 978-1-4613-9290-3
eBook Packages: Springer Book Archive