Method for Forecasting Telecom Operators´ Revenue: Based on DEA Regression

Author

Xu Jiang ; Wang jingmin

Author_Institution

Stat. Dept., Changchun Taxation Coll., Changchun, China

Volume

2

fYear

2009

fDate

18-19 July 2009

Firstpage

375

Lastpage

378

Abstract

In this paper, input-output efficiencies of 31 provinces in China have been got by setting up a Chinese Telecommunications Operators model for revenue forecasts adopting DEA regression analysis and score calculation, and the empirical research has been explored according to them. Meanwhile, the paper shows the superiority of DEA by the simultaneously of regression analysis and traditional regression analysis, and point outs DEA are the scientific methods of telecom operators income prediction, are greatly valued of the job of income measured and has reference for formulating the goal of income.

Keywords

data envelopment analysis; forecasting theory; regression analysis; Chinese Telecommunications Operators model; DEA regression analysis; income prediction; input-output efficiencies; revenue forecasts; score calculation; telecom operator revenue forecasting; Air conditioning; Communication industry; Data envelopment analysis; Educational institutions; Energy conservation; Energy consumption; Engines; Regression analysis; Statistical analysis; Telecommunications; Data Envelopment Analysis (DEA); Forecast; Regression Analysis; Revenue;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on

Conference_Location

Shenzhen

Print_ISBN

978-0-7695-3699-6

Type

conf

DOI

10.1109/APCIP.2009.229

Filename

5197215