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Based on the Theory of Functional Data to Classify the Working Population

Author: WangWenPing
Tutor: ShiNingZhong
School: Northeast Normal University
Course: Probability Theory and Mathematical Statistics
Keywords: Functional Data Derivative function Interval Cluster analysis
CLC: C924.2
Type: Master's thesis
Year: 2010
Downloads: 76
Quote: 0
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Abstract


Real life, the observation data of the sample in the increasing number of fields having the function type characteristics for analysis , from the function perspective on this basis , compared with traditional analytical methods , functional data analysis less dependent on assumptions and it is an important feature of the guide function curve is obtained , from which you can dig out more information . based on the theory of functional data , summarizes the basic characteristics of this type of data and analysis steps , summary of the functional data clustering method to analyze the advantages and disadvantages of each part of the improvements , and the trajectory model - based clustering method . Finally, the method is applied to the cluster analysis of the data of the working population in the 21 prefecture-level cities in Guangdong Province , the analysis results on national economic decision making has a certain significance .

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CLC: > Social Sciences > Demographic > Investigation and research of the world population > China's population
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