標題: 具隨機效應、冪次轉換與一般自相關共變異數結構之成長曲線模型的最大概似估計和貝氏分析
作者: 謝佩芬
李昭勝
統計學研究所
關鍵字: Noninformative prior;Noninformative prior;Prediction;Real data;Trace T distribution
公開日期: 2000
摘要: In this paper we consider from maximum likelihood and Bayesian points of view the generalized growth curve model with power transformation, random effects and banded covariance structure. This covariance is a generalization of the AR(1) dependence structure. Inferences on the parameters as well as the future values are included. Some numerical results with a set of real data are also given.
In this paper we consider from maximum likelihood and Bayesian points of view the generalized growth curve model with power transformation, random effects and banded covariance structure. This covariance is a generalization of the AR(1) dependence structure. Inferences on the parameters as well as the future values are included. Some numerical results with a set of real data are also given.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT890337017
http://hdl.handle.net/11536/66769
顯示於類別:畢業論文