東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Semi-parametric Bayesian Inference o...

Liu, Xi.

Linked to FindBook

Google Book

Amazon

博客來

Semi-parametric Bayesian Inference of Accelerated Life Test Using Dirichlet Process Mixture Model.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Semi-parametric Bayesian Inference of Accelerated Life Test Using Dirichlet Process Mixture Model./
Author:	Liu, Xi.
Description:	100 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-07(E), Section: B.
Contained By:	Dissertation Abstracts International77-07B(E).
Subject:	Industrial engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10024057
ISBN:	9781339516431

Semi-parametric Bayesian Inference of Accelerated Life Test Using Dirichlet Process Mixture Model.
Liu, Xi.

Semi-parametric Bayesian Inference of Accelerated Life Test Using Dirichlet Process Mixture Model. - 100 p.

Source: Dissertation Abstracts International, Volume: 77-07(E), Section: B.

Thesis (Ph.D.)--Ohio University, 2015.

Accelerated life testing (ALT) is commonly used to estimate the reliability of highly reliable products. This dissertation develops statistical models to predict useful life of nano devices with data collected under constant-stress ALT and step-stress ALT. As an example of nano devices, nc-MoOx embedded ZrHfO high-k dielectric thin film is studied with respect to its physical properties, failure mechanisms, and long-term stability. The devices used for ALT and reliability prediction demonstration have identical structure with this nc-MoOx embedded device.

ISBN: 9781339516431Subjects--Topical Terms:

526216
Industrial engineering.

Semi-parametric Bayesian Inference of Accelerated Life Test Using Dirichlet Process Mixture Model.
LDR:02414nmm a2200313 4500 001 2116124
005 20170417135048.5
008 180830s2015 ||||||||||||||||| ||eng d
020 $a 9781339516431
035 $a (MiAaPQ)AAI10024057
035 $a AAI10024057
040 $a MiAaPQ $c MiAaPQ
100 1 $a Liu, Xi. $3 1945874
245 1 0 $a Semi-parametric Bayesian Inference of Accelerated Life Test Using Dirichlet Process Mixture Model.
300 $a 100 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-07(E), Section: B.
500 $a Adviser: Tao Yuan.
502 $a Thesis (Ph.D.)--Ohio University, 2015.
520 $a Accelerated life testing (ALT) is commonly used to estimate the reliability of highly reliable products. This dissertation develops statistical models to predict useful life of nano devices with data collected under constant-stress ALT and step-stress ALT. As an example of nano devices, nc-MoOx embedded ZrHfO high-k dielectric thin film is studied with respect to its physical properties, failure mechanisms, and long-term stability. The devices used for ALT and reliability prediction demonstration have identical structure with this nc-MoOx embedded device.
520 $a This research develops a semi-parametric Bayesian method to analyze ALT. The model assumes a log-linear lifetime-stress relationship, without assuming any parametric form of the failure-time distribution. The Dirichlet Weibull mixture model is employed to model the failure-time distribution under a given stress level. The model is fitted with a simulation-based algorithm, which implements Gibbs sampling to analyze ALT data and predicts the failure-time distribution at a normal stress level.
520 $a Two practical examples related to the reliability of nanoelectronic devices are presented for constant-stress ALT, including one right-censored data and one complete data set. One right-censored practical example is demonstrated for simple step-stress ALT. All three examples illustrate the capability of the proposed methodology to provide accurate prediction of the failure-time distribution at a normal stress level.
590 $a School code: 0167.
650 4 $a Industrial engineering. $3 526216
650 4 $a Statistics. $3 517247
650 4 $a Theoretical physics. $3 2144760
690 $a 0546
690 $a 0463
690 $a 0753
710 2 $a Ohio University. $b Mechanial and Systems Engineering - Engineering and Technology. $3 3277823
773 0 $t Dissertation Abstracts International $g 77-07B(E).
790 $a 0167
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10024057