The Distribution Parameter Estimation of SIMU Successive Test Data in Multi-Stage-Test

Author

Xu, Junhui ; Wang, Lixin ; Qian, Peixian

Author_Institution

Xi´´an Res. Inst. of Hi-tech

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1610

Lastpage

1612

Abstract

The determination of SIMU (strapdown inertial measurement unit) successive test data distribution is a small sample problem. It is the key to analyse the statistic characteristic of SIMU. A method is presented to use all the multi-stage-test data for establishing its prior distribution and posterior distribution. The distribution´s parameters are estimated with Bayesian method. Conjugated distribution and its sufficient statistic play an important role in the unknown parameter estimation of normal population. This method can improve the accuracy of statistic inference, and reduce the error of statistic analysis in the case of small sample. It is very helpful to make a further study to the statistic characteristic of SIMU

Keywords

Bayes methods; parameter estimation; statistical distributions; testing; units (measurement); Bayesian method; distribution parameter estimation; posterior distribution; statistic analysis; statistic characteristic analysis; statistic inference; strapdown inertial measurement unit; successive test data distribution; Bayesian methods; Density functional theory; Error analysis; Gaussian distribution; Intelligent control; Life testing; Measurement units; Parameter estimation; Statistical analysis; Statistical distributions; Bayesian method; SIMU; normal population; parameter estimation; successive test data;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712623

Filename

1712623