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The overall based on incomplete data parameter identification sector

Author: LiuHui
Tutor: ShiNingZhong
School: Northeast Normal University
Course: Probability Theory and Mathematical Statistics
Keywords: Incomplete data Identify community
CLC: O212
Type: Master's thesis
Year: 2007
Downloads: 38
Quote: 0
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Abstract


Based on the statistical analysis of incomplete data in many areas is frequently encountered problems . How much more effective use of existing data and information on the parameters of interest for statistical inference becomes especially meaningful. General statistical literature on incomplete data, statistical analysis methods tend to generate missing data mechanism for making assumptions , such as the common complement value method requires deletion mechanism is negligible . Otherwise excellent properties of those methods can not be guaranteed . However, these assumptions can not be verified because of our reliability and often controversial. In the absence of mechanisms does not make any assumptions we can get interesting parameter identification industry . This sector includes various deletion mechanism parameters for all possible values ??. This article describes several incomplete data obtained under certain circles interested in parameter identification methods, and the practical effect of these methods were verified and compared.

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CLC: > Mathematical sciences and chemical > Mathematics > Probability Theory and Mathematical Statistics > Mathematical Statistics
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