Comparing the Box-Jenkins Approach with the Exponentially Smoothed Forecasting Model Application to Hawaii Tourists-Reference-Cited by-同舟云学术

Comparing the Box-Jenkins Approach with the Exponentially Smoothed Forecasting Model Application to Hawaii Tourists

Published:1975-05 Issue:2 Volume:12 Page:182-188
ISSN:0022-2437
Container-title:Journal of Marketing Research
language:en
Short-container-title:Journal of Marketing Research

Author:

Geurts Michael D.¹,Ibrahim I. B.²

Affiliation:

1. Brigham Young University

2. Business Economics, University of Hawaii.

Abstract

This article compares the forecasting accuracy of two forecasting techniques: (1) Box-Jenkins, and (2) exponential smoothing. The comparison is made using the tourist to Hawaii time series. An analysis of both techniques is included.

Publisher

SAGE Publications

Subject

Marketing,Economics and Econometrics,Business and International Management

Link

http://journals.sagepub.com/doi/pdf/10.1177/002224377501200208

Reference16 articles.

1. Theil's Forecast Accuracy Coefficient: A Clarification

2. Some Comments on a Paper by Chatfield and Prothero and on A Review by Kendall

3. Some Recent Advances in Forecasting and Control

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forecasting hospitality industry development in Sharm El Sheikh Hotels based on multi-approach regression modeling;Development and Sustainability in Economics and Finance;2024-12

2. Evaluating machine learning prediction techniques and their impact on proactive resource provisioning for cloud environments;The Journal of Supercomputing;2024-06-18

3. A New Predictive Algorithm for Time Series Forecasting Based on Machine Learning Techniques: Evidence for Decision Making in Agriculture and Tourism Sectors;Stats;2022-11-16

4. Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects;Current Issues in Tourism;2022-04-14

5. A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05