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A One‐Sided Rank Test for Multivariate Censored Data
Author(s) -
Wei L. J.,
Knuiman M. W.
Publication year - 1987
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1987.tb00737.x
Subject(s) - multivariate statistics , consistency (knowledge bases) , statistics , test (biology) , mathematics , multivariate analysis , rank (graph theory) , log rank test , econometrics , combinatorics , proportional hazards model , biology , discrete mathematics , paleontology
Summary An asymptotically distribution‐free test is proposed for testing the equality of two multivariate failure distributions against a particular one‐sided alternative based on censored observations. This test may be interpreted as a multivariate one‐sided Gehan test. The consistency of the test is established. An illustrative example is given.