Analysis of Consumption of Rural Residents in Jilin Province Based on Hidden Markov Model

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Abstract:

Analysis status consumption of residents according to the statistical data in the recently twenty years of rural residents in Jilin province the Engel Coefficient.Select the sample interval properly based on hidden markov model,modeled using MATLAB and estimate the transition probability between states using probability estimation function of MATLAB’s hidden markov model toolbox, contact probability estimation in Markov model toolbox function, and predicting the Engel Coefficients of rural residents in the province for the next ten years (2013-2022). Studies have shown that, using the hidden Markov model established by MATLAB can accurately predict the future situation of residents consumption.

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Advanced Materials Research (Volumes 971-973)

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2281-2284

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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