On goodness-of-fit for the absence of memory model

Vilijandas Bagdonavičius; Rüta Levulienė

Kybernetika (2001)

  • Volume: 37, Issue: 6, page [685]-702
  • ISSN: 0023-5954

Abstract

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Logrank-type and Kolmogorov-type goodness-of-fit tests for the absence of memory model are proposed when the accelerated experiments are done under step-stresses. The power of the test against the approaching alternatives is investigated. The theoretical results are illustrated with simulated data.

How to cite

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Bagdonavičius, Vilijandas, and Levulienė, Rüta. "On goodness-of-fit for the absence of memory model." Kybernetika 37.6 (2001): [685]-702. <http://eudml.org/doc/33559>.

@article{Bagdonavičius2001,
abstract = {Logrank-type and Kolmogorov-type goodness-of-fit tests for the absence of memory model are proposed when the accelerated experiments are done under step-stresses. The power of the test against the approaching alternatives is investigated. The theoretical results are illustrated with simulated data.},
author = {Bagdonavičius, Vilijandas, Levulienė, Rüta},
journal = {Kybernetika},
keywords = {test power},
language = {eng},
number = {6},
pages = {[685]-702},
publisher = {Institute of Information Theory and Automation AS CR},
title = {On goodness-of-fit for the absence of memory model},
url = {http://eudml.org/doc/33559},
volume = {37},
year = {2001},
}

TY - JOUR
AU - Bagdonavičius, Vilijandas
AU - Levulienė, Rüta
TI - On goodness-of-fit for the absence of memory model
JO - Kybernetika
PY - 2001
PB - Institute of Information Theory and Automation AS CR
VL - 37
IS - 6
SP - [685]
EP - 702
AB - Logrank-type and Kolmogorov-type goodness-of-fit tests for the absence of memory model are proposed when the accelerated experiments are done under step-stresses. The power of the test against the approaching alternatives is investigated. The theoretical results are illustrated with simulated data.
LA - eng
KW - test power
UR - http://eudml.org/doc/33559
ER -

References

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  1. Andersen P. K., Borgan O., Gill R. D., Keiding N., Statistical Models Based on Counting Processes, Springer, New York 1993 Zbl0824.60003MR1198884
  2. Bagdonavičius V., Testing the hypothesis of the additive accumulation of damages, Probab. Theor. Appl. 23 (1978), p. 403–408 (1978) MR0519103
  3. Cox D. R., Regression models and life tables, J. Roy. Statist. Soc. Ser. B 34 (1972), 187–220 (1972) Zbl0243.62041MR0341758
  4. Fleming T. R., Harrington D. P., Counting Processes and Survival Analysis, Wiley, New York 1991 Zbl1079.62093MR1100924

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