Finite Correctin of Akaike's Information Criterion
碩士 === 國立交通大學 === 統計學系 === 85 === In this paper we consider the finite correction of Akaike's information crit erion and refine it by considering the asymptotic bias of the maximumlikelihoo d with the rate of convergence is o(1/n...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
1997
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Online Access: | http://ndltd.ncl.edu.tw/handle/89329684697202916178 |
Summary: | 碩士 === 國立交通大學 === 統計學系 === 85 === In this paper we consider the finite correction of Akaike's
information crit erion and refine it by considering the
asymptotic bias of the maximumlikelihoo d with the rate of
convergence is o(1/n). The asymptotic bias of the ML estima
tors whose rate of convergenceis o(1/n) are also derived.
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