## Abstract

Sabine absorption coefficient is a widely used one deduced from reverberation time measurements via the Sabine equation. First- and second-level Bayesian analysis are used to estimate the flow resistivity of a sound absorber and the

influences of the test chambers from Sabine absorption coefficients measured in 13 different reverberation chambers. The first-level Bayesian analysis is more general than the second-level Bayesian analysis. Sharper posterior distribution can be acquired by the second-level Bayesian analysis than the one by the first-level Bayesian analysis because more data are used to set more reliable prior distribution. The estimated room’s influences by the first- and the second-level Bayesian analyses are similar to the estimated results by the mean absolute error minimization.

influences of the test chambers from Sabine absorption coefficients measured in 13 different reverberation chambers. The first-level Bayesian analysis is more general than the second-level Bayesian analysis. Sharper posterior distribution can be acquired by the second-level Bayesian analysis than the one by the first-level Bayesian analysis because more data are used to set more reliable prior distribution. The estimated room’s influences by the first- and the second-level Bayesian analyses are similar to the estimated results by the mean absolute error minimization.

Original language | English |
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Title of host publication | Winter meeting proceedings of the Korean Society of Mechanical Engineers |

Number of pages | 4 |

Publication date | 2016 |

Publication status | Published - 2016 |

Event | Winter Meeting proceedings of the Korean Society of Mechanical Engineers - Kangwon, Korea, Republic of Duration: 14 Dec 2016 → 16 Dec 2016 |

### Conference

Conference | Winter Meeting proceedings of the Korean Society of Mechanical Engineers |
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Country | Korea, Republic of |

City | Kangwon |

Period | 14/12/2016 → 16/12/2016 |

## Keywords

- Bayesian Inference
- Absorption Coefficient
- Flow Resistivity
- Room’s Influence