Applications of a quadratic variance model for counting data.
Applications of a quadratic variance model for counting data.
复制标题
二次方差模型在计数数据中的应用。
作者：
M. Tries
一个二次方差模型表示为样本均值的函数被用来描述计数方差的机械系统，表现出额外的泊松方差。非线性项描述了额外的泊松方差，线性项描述了内在的和传播的泊松方差。二次方差模型也适用于重复的生物测定数据，其中的非线性项描述了众所周知的生物方差现象，这是一个特殊的情况下，额外的泊松方差。该模型被认为是适合的生物测定数据以及。额外的泊松方差的检测限进行了讨论，以及估计净信号检测限，摄入量，并承诺使用二次方差模型的有效剂量当量。
A quadratic variance model expressed as a function of sample mean is used to describe counting variance for a mechanical system that exhibits extra-Poisson variance. The nonlinear term describes the extra-Poisson variance, and the linear terms describe the intrinsic and propagated Poisson variance. The quadratic variance model also is applied to repetitive bioassay data, where the nonlinear term describes the well-known phenomenon of biological variance, which is a special case of extra-Poisson variance. The model was found to be suitable for the bioassay data as well. Detection limits for extra-Poisson variance are discussed, as well as the estimation of net signal detection limits, intake, and committed effective dose equivalent using the quadratic variance model.