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168 D. M. Dabrowska<br />

We have|x(t)| ≤ max{�y�∞,�y −�∞} exp � t<br />

0 d�b�v and� exp[− �<br />

· d�b�v]|x|�∞ ≤<br />

max{�y�∞,�y −�∞}. If yθ(t), and bθ(t) = � t<br />

0 kθ(u)n(du) are functions dependent<br />

on a Euclidean parameter θ∈Θ⊂R d , and|kθ|(t)≤k(t), then these bounds hold<br />

pointwise in θ and<br />

sup{exp[−<br />

t≤τ<br />

θ∈Θ<br />

� t<br />

Acknowledgement<br />

0<br />

k(u)n(du)]|xθ(t)|}≤max{sup<br />

u≤τ<br />

θ∈Θ<br />

|yθ|(u), sup|yθ(u−)|}.<br />

u≤τ<br />

θ∈Θ<br />

The paper was presented at the First Erich Leh–mann Symposium, Guanajuato,<br />

May 2002. I thank Victor Perez Abreu and Javier Rojo for motivating me to write it.<br />

I also thank Kjell Doksum, Misha Nikulin and Chris Klaassen for some discussions.<br />

The paper benefited also from comments of an anonymous reviewer and the Editor<br />

Javier Rojo.<br />

References<br />

[1] Arcones, M. A. and Giné, E. (1995). On the law of iterated logarithm for<br />

canonical U-statistics and processes. Stochastic Processes Appl. 58, 217–245.<br />

[2] Bennett. S. (1983). Analysis of the survival data by the proportional odds<br />

model. Statistics in Medicine 2, 273–277.<br />

[3] Beesack, P. R. (1975). Gronwall Inequalities. Carlton Math. Lecture Notes<br />

11, Carlton University, Ottawa.<br />

[4] Bickel, P. J. (1986) Efficient testing in a class of transformation models. In<br />

Proceedings of the 45th Session of the International Statistical Institute. ISI,<br />

Amsterdam, 23.3-63–23.3-81.<br />

[5] Bickel, P. J. and Ritov, Y. (1995). Local asymptotic normality of ranks<br />

and covariates in transformation models. In Festschrift for L. LeCam (D. Pollard<br />

and G. Yang, eds). Springer.<br />

[6] Bickel, P., Klaassen, C., Ritov, Y. and Wellner, J. A. (1998). Efficient<br />

and Adaptive Estimation for Semiparametric Models. Johns Hopkins<br />

Univ. Press.<br />

[7] Bilias, Y., Gu, M. and Ying, Z. (1997). Towards a general asymptotic<br />

theory for Cox model with staggered entry. Ann. Statist. 25, 662–683.<br />

[8] Billingsley, P. (1968). Convergence of Probability Measures. Wiley.<br />

[9] Bogdanovicius, V. and Nikulin, M. (1999). Generalized proportional hazardss<br />

model based on modified partial likelihood. Lifetime Data Analysis 5,<br />

329–350.<br />

[10] Bogdanovicius, M. Hafdi, M. A. and Nikulin, M. (2004). Analysis of<br />

survival data with cross-effects of survival functions. Biostatistics 5, 415–425.<br />

[11] Cheng, S. C., Wei, L. J. and Ying, Z. (1995). Analysis of transformation<br />

models with censored data. J. Amer. Statist. Assoc. 92, 227–235.<br />

[12] Cox, D. R. (1972). Regression models in life tables. J. Roy. Statist. Soc. Ser.<br />

B. 34, 187–202.<br />

[13] Cuzick, J. (1988) Rank regression. Ann. Statist. 16, 1369–1389.<br />

[14] Dabrowska, D. M. and Doksum, K.A. (1988). Partial likelihood in transformation<br />

models. Scand. J. Statist. 15, 1–23.

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