Goal programming regression with serial correlation: Policy implications for Japanese telecommunications infrastructure development

Toshiyuki Sueyoshi, Kazuyuki Sekitani

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This study proposes a new use of Goal Programming (GP) for time-series regression, along with a related computer algorithm. The most important feature of this newly proposed GP use is that it can incorporate Serial Correlation (SC) in its time-series analysis. As an important case study, this research applies the proposed GP/SC technique to a real data set related to Japanese telecommunications (1953-1991). Four policy suggestions are documented for use in the future development of Japanese information infrastructure.

Original languageEnglish
Pages (from-to)195-205
Number of pages11
JournalOmega
Volume26
Issue number2
Publication statusPublished - 1 Dec 1998

Keywords

  • Goal programming
  • Telecommunications
  • Time-series analysis

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