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A comparison of tests for the k ‐sample, non‐decreasing alternative
Author(s) -
Mahrer Joanne M.,
Magel Rhonda C.
Publication year - 1995
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780140814
Subject(s) - monte carlo method , statistics , parametric statistics , nonparametric statistics , mathematics , sample size determination , test (biology) , econometrics , paleontology , biology
This paper compares, by means of Monte Carlo simulations, three non‐parametric tests to detect a non‐decreasing trend in location parameters. The three tests are the Jonckheere—Terpstra test, the Cuzick test, and the Le test. We estimated power for each test across a wide variety of non‐decreasing location parameters under four different types of distributions. None of the tests produced an overwhelmingly higher power over their two competitors.