CEP Calculation Based on Weighted Bayesian Mixture Model
CEP is an important accuracy index in the test evaluation for guidance weapon systems. As for the samples origin from diverse populations, which is a general case in the practice, traditional method with one population is inaccurate to give estimate directly. A weighted method considering the credib...
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2017-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/8070786 |
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doaj-be629eeb6faa4f25b8f4ef7a690b6f3a2020-11-24T23:11:56ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/80707868070786CEP Calculation Based on Weighted Bayesian Mixture ModelShengdi Zhang0Xiaojun Duan1Chang Li2Xiaojun Peng3Qiang Zhang4College of Science, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Science, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Science, National University of Defense Technology, Changsha, Hunan 410073, ChinaRocket Force Equipment Academy, Beijing 100085, ChinaRocket Force Equipment Academy, Beijing 100085, ChinaCEP is an important accuracy index in the test evaluation for guidance weapon systems. As for the samples origin from diverse populations, which is a general case in the practice, traditional method with one population is inaccurate to give estimate directly. A weighted method considering the credibility of the prior information is proposed for Bayesian estimation algorithm and the weighted estimation of normal distribution parameters is provided. And the statistical diversity between the weighted and classical methods is quantified, and upper bound of the calculation errors caused by prior distortion is deduced for mixture of finite normal distributions. Taking the estimation of the dispersion of the guided weapon impact points as an example, the conclusion is drawn that our method is credible.http://dx.doi.org/10.1155/2017/8070786 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shengdi Zhang Xiaojun Duan Chang Li Xiaojun Peng Qiang Zhang |
spellingShingle |
Shengdi Zhang Xiaojun Duan Chang Li Xiaojun Peng Qiang Zhang CEP Calculation Based on Weighted Bayesian Mixture Model Mathematical Problems in Engineering |
author_facet |
Shengdi Zhang Xiaojun Duan Chang Li Xiaojun Peng Qiang Zhang |
author_sort |
Shengdi Zhang |
title |
CEP Calculation Based on Weighted Bayesian Mixture Model |
title_short |
CEP Calculation Based on Weighted Bayesian Mixture Model |
title_full |
CEP Calculation Based on Weighted Bayesian Mixture Model |
title_fullStr |
CEP Calculation Based on Weighted Bayesian Mixture Model |
title_full_unstemmed |
CEP Calculation Based on Weighted Bayesian Mixture Model |
title_sort |
cep calculation based on weighted bayesian mixture model |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2017-01-01 |
description |
CEP is an important accuracy index in the test evaluation for guidance weapon systems. As for the samples origin from diverse populations, which is a general case in the practice, traditional method with one population is inaccurate to give estimate directly. A weighted method considering the credibility of the prior information is proposed for Bayesian estimation algorithm and the weighted estimation of normal distribution parameters is provided. And the statistical diversity between the weighted and classical methods is quantified, and upper bound of the calculation errors caused by prior distortion is deduced for mixture of finite normal distributions. Taking the estimation of the dispersion of the guided weapon impact points as an example, the conclusion is drawn that our method is credible. |
url |
http://dx.doi.org/10.1155/2017/8070786 |
work_keys_str_mv |
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_version_ |
1725603418871955456 |