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多个关联确定性时间序列微分方程建模方法研究

孙文凯 胡晓华 蒋文江

海南师范大学学报(自然科学版)Issue(1):9-14,6.
海南师范大学学报(自然科学版)Issue(1):9-14,6.

多个关联确定性时间序列微分方程建模方法研究

The Research of Differential Equations Modeling Methods of Correlative Deterministic Multivariate Time Series

孙文凯 1胡晓华 1蒋文江1

作者信息

  • 1. 海南师范大学 数学与统计学院,海南 海口 571158
  • 折叠

摘要

Abstract

From the perspective of pure mathematics, Deterministic multivariate time series were multiply accumulated to produce some new sequences, studying relationship among them and establishing the multiple linear or nonlinear regression model. If a significance levelαwas given, the significance test for every regression equation was carried out. At confidence level 1-α, the differential equations models were established to reveal the relationship among all the time series, and fore⁃cast or control them. Finally, using the data for the value of GDP and the number of tourist reception in Hainan province from 1995 to 2014, differential equations model is established to forecast.

关键词

多个时间序列/累加/微分方程/预测

Key words

multidimensional time series/accumulate/differential equation/forecast

分类

数理科学

引用本文复制引用

孙文凯,胡晓华,蒋文江..多个关联确定性时间序列微分方程建模方法研究[J].海南师范大学学报(自然科学版),2015,(1):9-14,6.

基金项目

国家自然科学基金资助项目 ()

海南师范大学学报(自然科学版)

1674-4942

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