DocumentCode
3576192
Title
Bootstrap center fusion estimation of prior distribution of SIMU successive test data
Author
Junhui Xu ; Jieyu Liu ; Zhenglin Xiao ; Xiaosong Guo
Author_Institution
Dept. of Auto-Control, Xi´an Res. Inst. of High-Tech, Xi´an, China
fYear
2014
Firstpage
2364
Lastpage
2367
Abstract
It is a key problem in Bayesian analysis about small sample how to get proper prior distribution. Aiming at the problem that how to get the prior distribution of strapdown inertial measurement unit (SIMU) successive test data, the fusion of multiple prior information is discussed in the case of hetero-populations. Bootstrap center method is used to achieve the fusion of multiple-hetero-population, in order to get prior distribution. It can reduce the error of statistical analysis under the condition of small sample.
Keywords
Bayes methods; statistical analysis; units (measurement); Bayesian analysis; SIMU successive test data; bootstrap center fusion estimation; bootstrap center method; multiple-hetero-population; prior distribution; statistical analysis; strapdown inertial measurement unit; Bayes methods; Distribution functions; Estimation; Gaussian distribution; Histograms; Sociology; SIMU; bootstrap center fusion; posterior distribution; prior distribution; small sample;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN
978-1-4799-2537-7
Type
conf
DOI
10.1109/ICMC.2014.7231991
Filename
7231991
Link To Document