HUANG JinChao, LING NengXiang. Empirical Bayes Two-Sided Test for the Parameter of Cox Models[J]. Chinese Journal of Applied Probability and Statistics, 2017, 33(5): 508-516. DOI: 10.3969/j.issn.1001-4268.2017.05.007
Citation: HUANG JinChao, LING NengXiang. Empirical Bayes Two-Sided Test for the Parameter of Cox Models[J]. Chinese Journal of Applied Probability and Statistics, 2017, 33(5): 508-516. DOI: 10.3969/j.issn.1001-4268.2017.05.007

Empirical Bayes Two-Sided Test for the Parameter of Cox Models

  • In this paper, the empirical Bayes (EB) two-sided test for parameter of Cox models is investigated under square loss functions. At first by using recursive kernel estimation of probability function the empirical Bayes two-sided test rule is constructed. It proves that the proposed empirical Bayes test rule is asymptotic optimal and convergence rates are obtained under suitable conditions. Finally an example of satisfying theorem conditions is given.
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