贝叶斯序贯平差

王新洲. 贝叶斯序贯平差[J]. 武汉大学学报 ( 信息科学版), 1994, 19(4): 315-321.

引用本文:

王新洲. 贝叶斯序贯平差[J]. 武汉大学学报 ( 信息科学版), 1994, 19(4): 315-321.

Wang Xinzhiou. Bayesian Sequential Adjustment[J]. Geomatics and Information Science of Wuhan University, 1994, 19(4): 315-321.

Citation:

Wang Xinzhiou. Bayesian Sequential Adjustment[J]. Geomatics and Information Science of Wuhan University, 1994, 19(4): 315-321.

Bayesian Sequential Adjustment

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.

Abstract: 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.

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