Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/3462

 Title: Empirical Bayes Two-Sided Test for the Parameter of Linear Exponential Distribution for Random Index Authors: Juan, Huang Keywords: random indexempirical Bayes testasymptotic optimalityconvergence rates Issue Date: 2014 Publisher: Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences Citation: Serdica Mathematical Journal, Vol. 40, No 3-4, (2014), 261p-272p Abstract: In the case of random index, the empirical Bayes two-side test rule for the parameter of linear exponential distribution is constructed. The asymptotically optimal property for the proposed EB test is obtained under suitable conditions. It is shown that the convergence rates of the proposed EB test rules can arbitrarily close to O(n^−1/2). 2010 Mathematics Subject Classification: 62C12, 62F15. URI: http://hdl.handle.net/10525/3462 ISSN: 1310-6600 Appears in Collections: Volume 40, Number 3-4

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