期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2007
卷号：XXXVI-2/C43
出版社：Copernicus Publications
摘要：This paper examines two different methods by which the error propagated through models used in precision agriculture, may be calculated. The two methods are an analytical method, referred to here as a Taylor series method, and the Monte Carlo simulation method when a Gaussian assumption is made about the input error distribution. It is generally expected that the results from these methods will agree, however the structure of the model may in fact influence this agreement. Several non normal Gamma distributions were investigated to see if they can improve the agreement between these methods. The error and skew of the Monte Carlo results relative to the calculated results was also useful in highlighting how the distribution of model inputs and the model's structure itself may bias the results
关键词：Error propagation; Taylor Series method; Monte Carlo simulation
