Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution

To address the problems of high cost of new ammunition experiment, few data of field test and low accuracy of consumption prediction, this article proposes a Bayesian estimation method of ammunition consumption based on normal-inverse gamma distribution, and estimates the hyperparameters in the prio...

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Main Authors: Haobang Liu, Xianming Shi, Xiaojuan Chen, Yuan Li, Mei Zhao, Yongchao Jiang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/6365712
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author Haobang Liu
Xianming Shi
Xiaojuan Chen
Yuan Li
Mei Zhao
Yongchao Jiang
author_facet Haobang Liu
Xianming Shi
Xiaojuan Chen
Yuan Li
Mei Zhao
Yongchao Jiang
author_sort Haobang Liu
collection DOAJ
description To address the problems of high cost of new ammunition experiment, few data of field test and low accuracy of consumption prediction, this article proposes a Bayesian estimation method of ammunition consumption based on normal-inverse gamma distribution, and estimates the hyperparameters in the prior distribution through the prior information from the consumption of ammunition under different damage degrees of point targets, based on the normal distribution phenomenon of ammunition consumption at each damage degree. It is to establish a Bayesian estimation model for ammunition consumption under different damage degrees according to field test data based on Bayesian formula and solve for its posterior distribution. The example proves that the estimation results of ammunition consumption for point target with different damage degrees based on this method is more scientific and reasonable according to various prior information.
format Article
id doaj-art-82d4f4b99c0243968bb26b0226183c1d
institution Kabale University
issn 1607-887X
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-82d4f4b99c0243968bb26b0226183c1d2025-02-03T06:05:51ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/6365712Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma DistributionHaobang Liu0Xianming Shi1Xiaojuan Chen2Yuan Li3Mei Zhao4Yongchao Jiang5Shijiazhuang CampusShijiazhuang CampusShijiazhuang CampusShijiazhuang CampusShijiazhuang CampusShijiazhuang CampusTo address the problems of high cost of new ammunition experiment, few data of field test and low accuracy of consumption prediction, this article proposes a Bayesian estimation method of ammunition consumption based on normal-inverse gamma distribution, and estimates the hyperparameters in the prior distribution through the prior information from the consumption of ammunition under different damage degrees of point targets, based on the normal distribution phenomenon of ammunition consumption at each damage degree. It is to establish a Bayesian estimation model for ammunition consumption under different damage degrees according to field test data based on Bayesian formula and solve for its posterior distribution. The example proves that the estimation results of ammunition consumption for point target with different damage degrees based on this method is more scientific and reasonable according to various prior information.http://dx.doi.org/10.1155/2022/6365712
spellingShingle Haobang Liu
Xianming Shi
Xiaojuan Chen
Yuan Li
Mei Zhao
Yongchao Jiang
Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution
Discrete Dynamics in Nature and Society
title Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution
title_full Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution
title_fullStr Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution
title_full_unstemmed Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution
title_short Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution
title_sort bayesian inference of ammunition consumption based on normal inverse gamma distribution
url http://dx.doi.org/10.1155/2022/6365712
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AT xianmingshi bayesianinferenceofammunitionconsumptionbasedonnormalinversegammadistribution
AT xiaojuanchen bayesianinferenceofammunitionconsumptionbasedonnormalinversegammadistribution
AT yuanli bayesianinferenceofammunitionconsumptionbasedonnormalinversegammadistribution
AT meizhao bayesianinferenceofammunitionconsumptionbasedonnormalinversegammadistribution
AT yongchaojiang bayesianinferenceofammunitionconsumptionbasedonnormalinversegammadistribution