Combining Forecasts: Multiple Regression versus a Bayesian Approach-Reference-Cited by-同舟云学术

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Combining Forecasts: Multiple Regression versus a Bayesian Approach

Published:1989-03 Issue:1 Volume:20 Page:77-89
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Walz Daniel T.,Walz Diane B.

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1540-5915.1989.tb01398.x/fullpdf

Reference22 articles.

1. Statistical Model Comparison in Marketing Research

2. The Combination of Forecasts

3. ON THE IMPLICATIONS OF SPECIFICATION UNCERTAINTY IN FORECASTING

4. Statistical efficiency in the linear combination of forecasts

5. The suboptimality of composite forecasts derived from posterior probabilities

Cited by 8 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. Coordinating judgmental forecasting: Coping with intentional biases;Omega;2019-09

2. REVIEW OF COMBINING FORECASTS APPROACHES;Independent Journal of Management & Production;2013-06-30

3. An Empirical Study of Forecast Combination in Tourism;Journal of Hospitality & Tourism Research;2009-02

4. Tourism forecasting: To combine or not to combine?;Tourism Management;2007-08

5. Confidence in Aggregation of Opinions from Multiple Sources;Information Sampling and Adaptive Cognition;2005-12-05

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