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@article{1324012,
author = {Kraus, David},
article_location = {Amsterdam},
article_number = {4},
doi = {http://dx.doi.org/10.1016/j.spl.2004.10.014},
keywords = {counting process; Cox-Aalen model; goodness-of-fit; hazard regression; martingale; residual; survival analysis},
language = {eng},
issn = {0167-7152},
journal = {Statistics & Probability Letters},
title = {Goodness-of-fit inference for the Cox-Aalen additive-multiplicative regression model},
volume = {70},
year = {2004}
}
TY - JOUR
ID - 1324012
AU - Kraus, David
PY - 2004
TI - Goodness-of-fit inference for the Cox-Aalen additive-multiplicative regression model
JF - Statistics & Probability Letters
VL - 70
IS - 4
SP - 285-298
EP - 285-298
PB - Elsevier Science BV
SN - 01677152
KW - counting process
KW - Cox-Aalen model
KW - goodness-of-fit
KW - hazard regression
KW - martingale
KW - residual
KW - survival analysis
N2 - The Cox-Aalen additive-multiplicative intensity model of Scheike and Zhang (Scand. J. Statist. 29, 2002) is considered. We study goodness-of-fit tests based on the stratified martingale residual process. Asymptotic distribution of the process is derived and the Kolmogorov-Smirnov type test is constructed. Several ways of overcoming the problem of complexity of the limiting distribution are discussed. The results are accompanied by a small Monte Carlo study. (C) 2004 Elsevier B.V. All rights reserved.
ER -
KRAUS, David. Goodness-of-fit inference for the Cox-Aalen additive-multiplicative regression model. \textit{Statistics \&{} Probability Letters}. Amsterdam: Elsevier Science BV, 2004, roč.~70, č.~4, s.~285-298. ISSN~0167-7152. Dostupné z: https://dx.doi.org/10.1016/j.spl.2004.10.014.
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