Maximum likelihood estimator and likelihood ratio test in complex models: An application to B lymphocyte development
Maximum likelihood estimator and likelihood ratio test in complex models: An application to B lymphocyte development
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DOI：
10.1016/s0092-8240(03)00062-4
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发表时间：
2003-11-01
影响因子：
3.5
通讯作者：
Mehr, R
中科院分区：
文献类型：
--
作者：
Gorfine, M;Freedman, L;Mehr, R
本文介绍了一个简单的框架，为复杂模型的参数估计和统计假设检验提供了基础。在描述所研究过程的模型中所做的唯一假设是，观测值与模型的偏差具有多元正态分布。本文提出的统计技术的应用在分析各种复杂的生物学和流行病学模型方面可能具有相当大的效用。据我们所知，这里描述的模型和方法以前没有在理论免疫学领域发表过。(C) 2003年中国数学生物学学会。Elsevier Ltd.出版。版权所有。
In this paper we introduce a simple framework which provides a basis for estimating parameters and testing statistical hypotheses in complex models. The only assumption that is made in the model describing the process under study, is that the deviations of the observations from the model have a multivariate normal distribution. The application of the statistical techniques presented in this paper may have considerable utility in the analysis of a wide variety of complex biological and epidemiological models. To our knowledge, the model and methods described here have not previously been published in the area of theoretical immunology. (C) 2003 Society for Mathematical Biology. Published by Elsevier Ltd. All rights reserved.