多指数函数拟合中的加权函数和数据截断
Weighting functions and data truncation in the fitting of multi-exponential functions.
作者信息
Atkins G L
出版信息
Biochem J. 1974 Jan;138(1):125-7. doi: 10.1042/bj1380125.
Abstract
Artificial data were simulated by using two-exponential functions and normally distributed pseudo-random numbers. The variation corresponded to either constant or relative variance for the data error. These data were used to test (i) three different weighting functions and (ii) the effect of data truncation on the precision of estimating the parameters of two-exponential functions.
摘要
通过使用双指数函数和正态分布的伪随机数来模拟人工数据。数据误差的变化对应于恒定方差或相对方差。这些数据用于测试（i）三种不同的加权函数，以及（ii）数据截断对估计双指数函数参数精度的影响。
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