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卢里亚-德尔布吕克波动分析:估计复合泊松分布中的泊松参数。

Luria-Delbrück fluctuation analysis: estimating the Poisson parameter in a compound Poisson distribution.

作者信息

Jones M E, Wheldrake J, Rogers A

机构信息

Department of Anatomy and Histology, School of Medicine, Flinders University, Bedford Park, South Australia.

出版信息

Comput Biol Med. 1993 Nov;23(6):525-34. doi: 10.1016/0010-4825(93)90099-m.

Abstract

Estimating the mutation rate from a Luria-Delbrück fluctuation experiment involves estimating the Poisson parameter in a compound Poisson distribution. The efficiency with which this can be estimated depends on how well the other random factors have been characterized. The assumption that cell growth can be represented as a stochastic pure birth or Yule process is biologically unrealistic but contributes little to the bias and variance of a maximum likelihood estimator of the mutation rate.

摘要

从卢里亚-德尔布吕克波动实验估计突变率涉及估计复合泊松分布中的泊松参数。其估计效率取决于对其他随机因素的刻画程度。细胞生长可表示为随机纯出生或尤尔过程这一假设在生物学上不现实,但对突变率最大似然估计器的偏差和方差影响不大。

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