摘要
应用贝叶斯统计理论推导了序贯平差公式．按本文推导的公式进行贝叶斯序贯平差，得到的未知参数Ｘ的贝叶斯估值与按经典序贯平差得到的结果完全相同，但单位权方差σ２的贝叶斯估值却与按经典平差方法得到的结果相差一个因子．
This peper devolops sequential adjustment formulas hased on Bayesian theory. Using these formulas we can obtain the same estimators of unknown parameters as using classical sequential adjustment. But the estimator of unit weight deviation is different from classical method.
出处
《武汉测绘科技大学学报》
CSCD
1994年第4期315-321,共7页
Geomatics and Information Science of Wuhan University
关键词
贝叶斯统计
序贯平差
先验分布
验后分布
Bayesian statistics
sequential adjustment
prior distributions
posterior distributions
