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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Main Authors: Shengdi Zhang, Xiaojun Duan, Chang Li, Xiaojun Peng, Qiang Zhang
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/8070786
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spelling 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
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AT xiaojunduan cepcalculationbasedonweightedbayesianmixturemodel
AT changli cepcalculationbasedonweightedbayesianmixturemodel
AT xiaojunpeng cepcalculationbasedonweightedbayesianmixturemodel
AT qiangzhang cepcalculationbasedonweightedbayesianmixturemodel
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