Abstract
Professor Nousek discusses three examples of statistical inference in astronomy where the number of counts (of photons, etc.) is small. In his discussion he advances various methods of analysis on which I shall comment.
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Department of Statistics, University of California, Berkeley, CA 94720.
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References
Bieber, J.W., Seckel, D., Stanev, T., and Steigman, G. Variation in the solar neutrino flux with the sun’s activity. Nature, 348, 407–411, 1990.
Cash, W. Parameter estimation in astronomy through application of the likelihood ratio. Astrophys. J., 288, 939–942, 1979.
Encyclopedia of Statistical Sciences (S. Kotz, N. Johnson Eds.). Wiley, New York, 1989.
Kraft, R., Burrows, D., and Nousek, J. Determination of confidence-limits for experiments with low numbers of counts. Atstrophys. J., 371, 344–355, 1991.
Lehmann, E. Nonparametrics: Statistical Methods Based on Ranks. Holden Day. San Francisco. Calif., 1975.
Maritz, J. and Lwin, T. Empirical Bayes Methods, 2nd Ed. Chapman and Hall, London. 1989.
Morris, C.N. Parametric empirical Bayes inference: Theory and applications. J. Amer. Statist. Asoc, 78, 47–59, 1983.
Robbins, H. Some thought on empirical Bayes estimation. Ann. Statist, 11, 713–723. 1983.
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© 1992 Springer-Verlag New York, Inc.
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Feigelson, E.D., Babu, G.J. (1992). Discussion by P.J. Bickel. 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_36
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DOI: https://doi.org/10.1007/978-1-4613-9290-3_36
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