LikeSNU 서울대학교 도서관
SNU Big Data Knowledge Information Platform

Full Menu

AI
Report registration
  • Type
  • Title
  • Group
  • Link
  • Thumbnail
Paper List
Paper List (0Count) Export to Excel

There is no data.

관광객 수요예측모형 정확성 비교연구

Author
임성식
Journal Title
한국데이터정보과학회지
Publication Year
2018
Summary

This study compared Winter's model, seasonal ARIMA model, and intervention analysis model for forecasting tourist demand for visitors to Korea. Empirical analysis revealed that the intervention analysis model, reflecting the intervention effect as an external shock factor, showed superior predictive power. This can contribute to efficiently predicting the number of foreign tourists visiting Korea in the future.

Quotation Papers(0)

List of papers cited by this paper

Thesis Indicator

Related Content

LikeSNU analyzes your query semantically to recommend related resources.

Previous
Next

계절형 ARIMA-Intervention 모형을 이용한 여행목적 별제주 관광객 수 예측에 관한 연구 A study on demand forecasting for Jeju-bound tourists by travel purpose using seasonal ARIMA-Intervention model

송준모 · 2016

한국데이터정보과학회지

계절형 ARIMA-Intervention 모형을 이용한 여행목적 별제주 관광객 수 예측에 관한 연구

송준모 · 2016

한국데이터정보과학회지

방한 중국 관광객 수요 예측모델의 비교 연구

박득희, 이계희, 이민정 · 2015

관광연구저널

Previous
Next
TOP