The Research Based on Big Data Management Accounting Model Building

Zhang Hang; Liu Yun

doi:doi:10.11648/j.si.20160404.20

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The Research Based on Big Data Management Accounting Model Building

Zhang Hang, Liu Yun

Published in Science Innovation (Volume 4, Issue 4)

Received: 2 November 2016 Accepted: Published: 2 November 2016

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Abstract

This paper is the study of a multivariate regression model construction related to management accounting,based on the nature of accounting under the viewpoint of the big data and cloud computing perspective.This paper chooses the multi-factor time series prediction construction model, bring in the steady test of time intervening variable, find outthe dependence relationship between independent variable, dependent variableand the time series variable dependence. It improves the simulation levelof forecast model building and the significance level of variable coefficient, providing reliable basis for prediction and decision-making. The final prediction model structurein this paper is the combination of a straight line and curve prediction model structure.

Published in	Science Innovation (Volume 4, Issue 4)
DOI	10.11648/j.si.20160404.20
Page(s)	228-234
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Management Accounting, Prediction Model, Intermediary Variables, Hybrid Structure

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APA Style

Zhang Hang, Liu Yun. (2016). The Research Based on Big Data Management Accounting Model Building. Science Innovation, 4(4), 228-234. https://doi.org/10.11648/j.si.20160404.20

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ACS Style

Zhang Hang; Liu Yun. The Research Based on Big Data Management Accounting Model Building. Sci. Innov. 2016, 4(4), 228-234. doi: 10.11648/j.si.20160404.20

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AMA Style

Zhang Hang, Liu Yun. The Research Based on Big Data Management Accounting Model Building. Sci Innov. 2016;4(4):228-234. doi: 10.11648/j.si.20160404.20

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@article{10.11648/j.si.20160404.20,
  author = {Zhang Hang and Liu Yun},
  title = {The Research Based on Big Data Management Accounting Model Building},
  journal = {Science Innovation},
  volume = {4},
  number = {4},
  pages = {228-234},
  doi = {10.11648/j.si.20160404.20},
  url = {https://doi.org/10.11648/j.si.20160404.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20160404.20},
  abstract = {This paper is the study of a multivariate regression model construction related to management accounting,based on the nature of accounting under the viewpoint of the big data and cloud computing perspective.This paper chooses the multi-factor time series prediction construction model, bring in the steady test of time intervening variable, find outthe dependence relationship between independent variable, dependent variableand the time series variable dependence. It improves the simulation levelof forecast model building and the significance level of variable coefficient, providing reliable basis for prediction and decision-making. The final prediction model structurein this paper is the combination of a straight line and curve prediction model structure.},
 year = {2016}
}

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TY  - JOUR
T1  - The Research Based on Big Data Management Accounting Model Building
AU  - Zhang Hang
AU  - Liu Yun
Y1  - 2016/11/02
PY  - 2016
N1  - https://doi.org/10.11648/j.si.20160404.20
DO  - 10.11648/j.si.20160404.20
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 228
EP  - 234
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20160404.20
AB  - This paper is the study of a multivariate regression model construction related to management accounting,based on the nature of accounting under the viewpoint of the big data and cloud computing perspective.This paper chooses the multi-factor time series prediction construction model, bring in the steady test of time intervening variable, find outthe dependence relationship between independent variable, dependent variableand the time series variable dependence. It improves the simulation levelof forecast model building and the significance level of variable coefficient, providing reliable basis for prediction and decision-making. The final prediction model structurein this paper is the combination of a straight line and curve prediction model structure.
VL  - 4
IS  - 4
ER  -

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Author Information

Zhang Hang

College of Wealth Management, Ningbo Dahongying University, Ningbo, China
Liu Yun

College of Wealth Management, Ningbo Dahongying University, Ningbo, China

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APA Style

Zhang Hang, Liu Yun. (2016). The Research Based on Big Data Management Accounting Model Building. Science Innovation, 4(4), 228-234. https://doi.org/10.11648/j.si.20160404.20

Copy | Download

ACS Style

Zhang Hang; Liu Yun. The Research Based on Big Data Management Accounting Model Building. Sci. Innov. 2016, 4(4), 228-234. doi: 10.11648/j.si.20160404.20

Copy | Download

AMA Style

Zhang Hang, Liu Yun. The Research Based on Big Data Management Accounting Model Building. Sci Innov. 2016;4(4):228-234. doi: 10.11648/j.si.20160404.20

Copy | Download

@article{10.11648/j.si.20160404.20,
  author = {Zhang Hang and Liu Yun},
  title = {The Research Based on Big Data Management Accounting Model Building},
  journal = {Science Innovation},
  volume = {4},
  number = {4},
  pages = {228-234},
  doi = {10.11648/j.si.20160404.20},
  url = {https://doi.org/10.11648/j.si.20160404.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20160404.20},
  abstract = {This paper is the study of a multivariate regression model construction related to management accounting,based on the nature of accounting under the viewpoint of the big data and cloud computing perspective.This paper chooses the multi-factor time series prediction construction model, bring in the steady test of time intervening variable, find outthe dependence relationship between independent variable, dependent variableand the time series variable dependence. It improves the simulation levelof forecast model building and the significance level of variable coefficient, providing reliable basis for prediction and decision-making. The final prediction model structurein this paper is the combination of a straight line and curve prediction model structure.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - The Research Based on Big Data Management Accounting Model Building
AU  - Zhang Hang
AU  - Liu Yun
Y1  - 2016/11/02
PY  - 2016
N1  - https://doi.org/10.11648/j.si.20160404.20
DO  - 10.11648/j.si.20160404.20
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 228
EP  - 234
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20160404.20
AB  - This paper is the study of a multivariate regression model construction related to management accounting,based on the nature of accounting under the viewpoint of the big data and cloud computing perspective.This paper chooses the multi-factor time series prediction construction model, bring in the steady test of time intervening variable, find outthe dependence relationship between independent variable, dependent variableand the time series variable dependence. It improves the simulation levelof forecast model building and the significance level of variable coefficient, providing reliable basis for prediction and decision-making. The final prediction model structurein this paper is the combination of a straight line and curve prediction model structure.
VL  - 4
IS  - 4
ER  -

Copy | Download