A Bayesian Approach to Step Function Regression with Data Dependent Error

碩士 === 國立中央大學 === 數學研究所 === 96 === One of the purposes of this thesis is to extend the Bayesian step-function regression model of Wen et al. (2006) to allow for more general noise term so that the error term may vary with the ratio itself, which is also a familiar phenomenon in regression analysis....

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Bibliographic Details
Main Authors: Tzu-yu Chen, 陳孜圩
Other Authors: I-Shou Chang
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/66382413958300487696