116
[15] A.F. Gretchen. Estimating marginal survival in the presence of dependent and
independent censoring: with applications to dividend initiation policy. Rice Uni-
versity, Texas, 2004.
[16] S. E. Harrington. Insurance rate regulation in the 20th century. Journal of
Insurance Regulation, Winter:204-217, 2000.
[17] J. J. Heckman and B. E. Honore. The identifiability of the competing risks
model. Biometrika, 76:325-330, 1989.
[18] X. L. Huang and N. Zhang. Regression survival analysis with an assumed copula
for dependent censoring: a sensitivity analysis approach. Biometrics, 64:1090-
1099, 2008.
[19] J.D. Kalbfleisch and Prentice R.L. The statistical analysis of failure time data.
Wiley-Interscience, New Jersey, 2002.
[20] J. Kiefer and J. Wolfowitz. Consistency of the maximum likelihood estimator in
the presence of infinitely many incidental parameters. The Annals of Mathemat-
ical Statistics, Part A: Theory and Methods, 15:3277-3285, 1956.
[21] J.P. Klein and M.L. Moeschberger. Survival analysis. Springer, New York, 2003.
[22] D. X. Li. On default correlation: a copula function approach. Journal of Fixed
Income, 9, No. 4:43-54, March 2000.
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