Bayesian Methods of Representative Values of Variable Actions

In engineering practice, it is sometimes necessary to infer the representative value of variable action under the condition that the test data is insufficient, but the classical statistics methods adopted now do not take into account the influences of statistical uncertainty, and the inferring resul...

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Main Authors: Xudong Wang, Jitao Yao
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Symmetry
Subjects:
Online Access:http://www.mdpi.com/2073-8994/11/3/346
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author Xudong Wang
Jitao Yao
author_facet Xudong Wang
Jitao Yao
author_sort Xudong Wang
collection DOAJ
description In engineering practice, it is sometimes necessary to infer the representative value of variable action under the condition that the test data is insufficient, but the classical statistics methods adopted now do not take into account the influences of statistical uncertainty, and the inferring results are always small, especially when characteristic and frequent values are inferred. Variable actions usually obey a type I maximum distribution, so the linear regression estimation of the tantile of type I minimum distribution can be employed to infer their characteristic and frequent values. However, it is inconvenient to apply and cannot totally meet the demands of characteristic and frequent values inference. Applying Jeffreys non-informative prior distribution, Bayesian methods for inferring characteristic and frequent values of variable actions are put forward, including that with known standard deviation, which could yield more advantageous results. The methods proposed are convenient and flexible, possessing good precision.
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spelling doaj.art-d76e277c38044c888cdc87876e3c8b642022-12-22T02:17:44ZengMDPI AGSymmetry2073-89942019-03-0111334610.3390/sym11030346sym11030346Bayesian Methods of Representative Values of Variable ActionsXudong Wang0Jitao Yao1School of Science, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaSchool of Science, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaIn engineering practice, it is sometimes necessary to infer the representative value of variable action under the condition that the test data is insufficient, but the classical statistics methods adopted now do not take into account the influences of statistical uncertainty, and the inferring results are always small, especially when characteristic and frequent values are inferred. Variable actions usually obey a type I maximum distribution, so the linear regression estimation of the tantile of type I minimum distribution can be employed to infer their characteristic and frequent values. However, it is inconvenient to apply and cannot totally meet the demands of characteristic and frequent values inference. Applying Jeffreys non-informative prior distribution, Bayesian methods for inferring characteristic and frequent values of variable actions are put forward, including that with known standard deviation, which could yield more advantageous results. The methods proposed are convenient and flexible, possessing good precision.http://www.mdpi.com/2073-8994/11/3/346Bayesian methodsminor samplesrepresentative valuesstatistical inferencevariable actions
spellingShingle Xudong Wang
Jitao Yao
Bayesian Methods of Representative Values of Variable Actions
Symmetry
Bayesian methods
minor samples
representative values
statistical inference
variable actions
title Bayesian Methods of Representative Values of Variable Actions
title_full Bayesian Methods of Representative Values of Variable Actions
title_fullStr Bayesian Methods of Representative Values of Variable Actions
title_full_unstemmed Bayesian Methods of Representative Values of Variable Actions
title_short Bayesian Methods of Representative Values of Variable Actions
title_sort bayesian methods of representative values of variable actions
topic Bayesian methods
minor samples
representative values
statistical inference
variable actions
url http://www.mdpi.com/2073-8994/11/3/346
work_keys_str_mv AT xudongwang bayesianmethodsofrepresentativevaluesofvariableactions
AT jitaoyao bayesianmethodsofrepresentativevaluesofvariableactions