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Some Bayesian methods in the estimat...

Wang, Guojun.

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Some Bayesian methods in the estimation of parameters in the measurement error models and crossover trial.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Some Bayesian methods in the estimation of parameters in the measurement error models and crossover trial./
作者:	Wang, Guojun.
面頁冊數:	178 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0825.
Contained By:	Dissertation Abstracts International65-02B.
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3120858
ISBN:	049668213X

Some Bayesian methods in the estimation of parameters in the measurement error models and crossover trial.
Wang, Guojun.

Some Bayesian methods in the estimation of parameters in the measurement error models and crossover trial. - 178 p.

Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0825.

Thesis (Ph.D.)--University of Cincinnati, 2004.

In this dissertation, we use Bayesian methods to estimate parameters in measurement error models and in the two-period crossover trial. The reference prior approach is used to estimate parameters in the measurement error models, including simple normal structural models, Berkson models, structural models with replicates, and the hybrid models. Reference priors are derived. Jeffreys prior is obtained as a special case of reference priors. The posterior properties are studied. Simulation-based comparisons are made between the reference prior approach and the maximum likelihood method. A fractional Bayes factor (FBF) approach is used to estimate the treatment effect in the two-period crossover trial. The reference priors and the FBF are derived. The FBF is used to combine the carryover-effect model and the no-carryover-effect model. Markov chain Monte Carlo simulation is used to implement the Bayesian analysis.

ISBN: 049668213XSubjects--Topical Terms:

517247
Statistics.

Some Bayesian methods in the estimation of parameters in the measurement error models and crossover trial.
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