Scholion.ai

Testing Homogeneity of Uniform Scale Distributions against Two-Sided and One-Sided Alternatives

Arthur Cohen, Mendel Fygenson

Journal of the American Statistical Association · 1995 · Volume 90 · Issue 431

DOI: 10.1080/01621459.1995.10476608

Abstract

Consider the model where X ij , i = 1, 2, …, k; j = 1, …, n i are independent uniform random variables with scale parameter θ i > 0. Test H 0 : θ l = ··· = θ k versus H 2 : not H 0 . Also consider the alternative H 1 : θ l ≤ ··· ≤ θ k . For H 0 versus H 2 and n i = n , we obtain a complete class of constant-size permutation invariant tests and show that each test in the class is unbiased. The likelihood ratio test and others are in this class. For H 0 versus H 1 we obtain a complete class of constant-size tests based on a set of variables that is a transformation of the sufficient statistics. Again we show that each test in the class is unbiased. The likelihood ratio test is in this class. We derive the exact and asymptotic distribution of the likelihood ratio test. All results also hold for testing homogeneity of location parameters of exponential distributions. This latter case is of considerable practice importance in reliability.

Enable JavaScript for citation tools and additional paper interactions.