洛特卡参数的新估计法

New Lotka Parameter Estimation

洛特卡定律是文献计量学的重要理论基础,是文献计量学的三大定律之一。借助它人们可以了解作者发文的结构。广义洛特卡定律是含约束条件的模型,它的参数估计较为复杂,帕欧提出了近似估计法,但其法仍较为复杂,且参数估计方法不科学。为了科学地估计参数本文在帕欧估计结果的基础上,通过回归法给出了更为简单、更为科学的估计法。

Lotka＇s Law is an important theoretical basis of bibliometrics,is one of the three laws of bibliometrics.Through which people can understand what the author issued a document＇s structure.Generalized Lotka＇s law is a model with constraints,and its parameter estimation is more complicated,Paoli proposed approximate estimation,but the law is still a bit of complicated.This paper based on the results of Paoli＇s estimation,gave a more simple estimation method through the regression method.