標題: 具線性共變異結構之成長曲線模式的貝氏分析
Bayesian Analysis of Growth Curve Model Having Linear Covariance Structures with Special Reference to Random Slope
作者: 劉必婷
Liu, Pi-Ting
李昭勝
Jack Lee, C.
統計學研究所
關鍵字: 線性共變異結構;成長曲線模式;貝氏分析;Linear covariance structures;Growth curve model;Bayesian analysis
公開日期: 1995
摘要: 這篇論文是由貝氏分析的觀點來考慮一般的成長曲線模式,而其中共變異矩陣為線性共變異結構。文中由貝氏的觀點來探討參數估計及預測未來值,並加以分析比較三種不同的事前分配。最後我們用實際的資料和模擬的資料來描述一些結果。
In this paper we consider a Bayesian analysis of unbalanced (general) growth curve model with linear covariance structures. Three types of priors are proposed and put into comparisons in parameter and prediction problems. Numerical results are illustrated with several sets of real and simulated data.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT843337001
http://hdl.handle.net/11536/61081
顯示於類別:畢業論文