Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2018, Vol. 35 ›› Issue (5): 523-533.doi: 10.3969/j.issn.1005-3085.2018.05.004

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Convergence Rates for Empirical Bayes Test of Parameter for the Continuous One-parameter Exponential Family

HUANG Jin-chao   

  1. Basic Course Department, Chouzhou Vocational And Technical College, Chuzhou, Anhui 239000
  • Received:2016-09-12 Accepted:2017-11-03 Online:2018-10-15 Published:2018-12-15
  • Supported by:
    The Key Projects of Natural Science Foundation of Universities and Colleges in Anhui Province (KJ2015A345); the Research Project of Outstanding Young Talents for Domestic Visiting in Anhui Universities and Colleges (gxfx2017225); the Key Project of Chuzhou Vocational and Technical College (YJZ-2016-01).

Abstract: The empirical Bayes test problem of parameter for a class of continuous one-parameter exponential family is considered in this paper. By using the recursive kernel esti-mation of probability density function and monotonicity of Bayes test function in the case of independent and identically distributed samples, the EB test function in established for a class of continuous one-parameter exponential family. By the construction method of modifying EB test function, the monotone Bayes test function are constructed. In addition, convergence rates of EB test function are obtained under the suitable conditions, and the results of convergence rate order are improved. Finally, a numerical example is presented to verify the conditions of the theorem.

Key words: the kernel estimation of density function, monotone Bayes test, the empirical Bayes test, convergence rates

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