We present a test for the equality of marginals of bi-dimensional distribution functions under censoring. The asymptotic power of the test under approaching alternatives and the simulation analysis for finite samples are done. The test is more powerful than classical tests in situations where the marginals differ in shape parameters.
On propose un test pour l'égalité des répartitions des marginales pour des données complètes ou censurées à droite. On obtient une estimation de la puissance asymptotique pour des alternatives approchées. On étudie par simulation des propriétés du test pour des échantillons finis. Le test est plus puissant que les tests classiques quand les marginales diffèrent en paramètre de forme.
Accepted:
Published online:
Vilijandas Bagdonavičius 1; Ruta Levuliene 1; Mikhail Nikulin 2
@article{CRMATH_2007__344_8_509_0, author = {Vilijandas Bagdonavi\v{c}ius and Ruta Levuliene and Mikhail Nikulin}, title = {A test for the equality of marginal distributions}, journal = {Comptes Rendus. Math\'ematique}, pages = {509--514}, publisher = {Elsevier}, volume = {344}, number = {8}, year = {2007}, doi = {10.1016/j.crma.2007.03.001}, language = {en}, }
TY - JOUR AU - Vilijandas Bagdonavičius AU - Ruta Levuliene AU - Mikhail Nikulin TI - A test for the equality of marginal distributions JO - Comptes Rendus. Mathématique PY - 2007 SP - 509 EP - 514 VL - 344 IS - 8 PB - Elsevier DO - 10.1016/j.crma.2007.03.001 LA - en ID - CRMATH_2007__344_8_509_0 ER -
Vilijandas Bagdonavičius; Ruta Levuliene; Mikhail Nikulin. A test for the equality of marginal distributions. Comptes Rendus. Mathématique, Volume 344 (2007) no. 8, pp. 509-514. doi : 10.1016/j.crma.2007.03.001. https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.1016/j.crma.2007.03.001/
[1] Accelerated Life Models, Chapman and Hall/CRC, Boca Raton, 2002
[2] Semiparametric Models in Accelerated Life Testing, Queen's Papers in Pure and Applied Mathematics, vol. 98, Kingston, Ontario, Canada, 1995
[3] A test of the equality of survival distributions based on paired observations from conditionally exponential distributions, IEEE Trans. Reliability, Volume 34 (1985), pp. 342-346
[4] EM algorithm for Cow's regression model using GLIM, J. Roy. Statist. Soc. Ser. C, Volume 34 (1985) no. 2, pp. 148-156
[5] P. Georges, A.-G. Lamy, E. Nicolas, G. Quibel, T. Roncalli, Multivariate survival modelling: a unified approach with copulas, Groupe de Recherch Operationelle, Crédit Lyonnais, 2001
[6] A Guide to Chi-Squared Testing, John Wiley and Sons, New York, 1996
[7] A paired-data analysis for a lifetime distribution, Amer. Statist., Volume 54 (2000), pp. 252-256
[8] A power analysis of tests for paired lifetime data, Lifetime Data Anal., Volume 11 (2005), pp. 233-243
[9] Covariance and survivor function estimation using censored multivariate failure time data, Biometrika, Volume 79 (1992), pp. 495-512
[10] Fonctions de répartition à n dimensions et leurs marges, Publ. Inst. Statist. Univ. Paris, Volume 8 (1959), pp. 229-231
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