References

1. B. J. Betts. A Statistical Analysis of Digital Mammography. Ph.D. thesis, Stanford University, Department of Electrical Engineering, 1999.

2. B. J. Betts, J. Li, A. Aiyer, S. M. Perlmutter, P. C. Cosman, R. M. Gray, R. A. Olshen, D. Ikeda, R. Birdwell, M. Williams, K. O. Perlmutter, S. Horine, C. N. Adams, L. Fajardo, and B. L. Daniel. Image quality in digital mammography. Technical report, Stanford University, November 1998. Revision of final report to the Army Medical Research and Material Command on Compression and Classification of Digital Mammograms for Storage, Transmission, and Computer Aided Screening. Available as a pdf file at http://www-isl.stanford.edu/ ~gray/armyfinal.pdf.

3. L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and Regression Trees. Wadsworth, Belmont, CA, 1984.

4. B. Efron. Better bootstrap confidence intervals (with discussion). J Amer. Stat. Assoc., 82(397):171-200, March 1987.

5. B. Efron and R. Tibshirani. An introduction to the bootstrap, volume 57 of Monographs on Statistics and Applied Probability. Chapman & Hall, New York, 1993.

6. T. J. Hastie and D. Pregibon. Generalized linear models. In J. M. Chambers and T. J. Hastie editors, Statistical Models in S, Cole Advanced and Software, chapter 6, pages 196246. Wadsworth & Brooks Grove, CA, 1992.

7. E. L. Lehmann. Testing Statistical Hypotheses. John Wiley & Sons, New York, 1986. Second edition.

8. I. McNemar. Note on the sampling errors of the difference between correlated proportions of percentages. Psychometrika 12:153-157, 1947.

0 0

Post a comment