期刊
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
卷 13, 期 1, 页码 59-74出版社
SPRINGER
DOI: 10.1007/s11009-008-9107-1
关键词
DNA sequence; Markov dependence; Likelihood ratio test; Phi-divergence test statistics
资金
- [MTM 2006-06872]
- [HG2004-0012]
DNA or protein sequences are usually modeled as probabilistic phenomena. The simplest model is created on the assumption that the nucleotides at the various sites are independently distributed. Usually the type of nucleotide at some site depends on the type at another site and therefore the DNA sequence is modeled as a Markov chain of random variables taking on the values A, G, C and T corresponding to the four nucleotides. First order or higher order Markov models provide better fit to a DNA sequence. Based on this remark, the aim of this paper is to present and study a family of test statistics for testing order Markov dependence in DNA sequences. This new family includes as a particular case the classical likelihood ratio test. A simulation study is presented in order to find test statistics, in this family, with a better behaviour than the likelihood ratio test.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据