Forecasting methods and principles: Evidence-based checklists
JS Armstrong, KC Green - Journal of Global Scholars of Marketing …, 2018 - Taylor & Francis
Problem How to help practitioners, academics, and decision makers use experimental
research findings to substantially reduce forecast errors for all types of forecasting problems …
research findings to substantially reduce forecast errors for all types of forecasting problems …
Forecasting Methods and Principles: Evidence-Based Checklists
JS Armstrong, KC Green - Journal of Global Scholars of Marketing …, 2018 - papers.ssrn.com
Problem: How to help practitioners, academics, and decision makers use experimental
research findings to substantially reduce forecast errors for all types of forecasting problems …
research findings to substantially reduce forecast errors for all types of forecasting problems …
Forecasting methods and principles: Evidence-based checklists
JS Armstrong, KC Green - Journal of Global Scholars of Marketing …, 2018 - dbpia.co.kr
Problem: How to help practitioners, academics, and decision makers use experimental
research findings to substantially reduce forecast errors for all types of forecasting problems …
research findings to substantially reduce forecast errors for all types of forecasting problems …
[PDF][PDF] Forecasting Methods and Principles: Evidence-Based Checklists
JS Armstrong, KC Green - researchgate.net
Problem: How to help practitioners, academics, and decision makers use experimental
research findings to substantially reduce forecast errors for all types of forecasting problems …
research findings to substantially reduce forecast errors for all types of forecasting problems …
Forecasting methods and principles: Evidence-based checklists
J Armstrong, K Green - Journal of Global Scholars of …, 2018 - econpapers.repec.org
ProblemHow to help practitioners, academics, and decision makers use experimental
research findings to substantially reduce forecast errors for all types of forecasting problems …
research findings to substantially reduce forecast errors for all types of forecasting problems …
[PDF][PDF] Forecasting Methods and Principles: Evidence-Based Checklists
JS Armstrong, KC Green - academia.edu
Problem: How to help practitioners, academics, and decision makers use experimental
research findings to substantially reduce forecast errors for all types of forecasting problems …
research findings to substantially reduce forecast errors for all types of forecasting problems …
Forecasting methods and principles: Evidence-based checklists
JS Armstrong, KC Green - Journal of Global Scholars of Marketing …, 2018 - ideas.repec.org
ProblemHow to help practitioners, academics, and decision makers use experimental
research findings to substantially reduce forecast errors for all types of forecasting problems …
research findings to substantially reduce forecast errors for all types of forecasting problems …
[PDF][PDF] Forecasting Methods and Principles: Evidence-Based Checklists
JS Armstrong, KC Green - 2017 - faculty.wharton.upenn.edu
Problem: Most forecasting practitioners are unaware of discoveries from experimental
research over the past half-century that can be used to reduce errors, often by more than …
research over the past half-century that can be used to reduce errors, often by more than …
[PDF][PDF] Forecasting Methods and Principles: Evidence-Based Checklists
JS Armstrong, KC Green - faculty.wharton.upenn.edu
Problem: Few practitioners or academics use findings from nearly a century of experimental
research that would allow them to substantially reduce forecast errors. In order to improve …
research that would allow them to substantially reduce forecast errors. In order to improve …
Forecasting Methods and Principles: Evidence-Based Checklists
JS Armstrong - Available at SSRN 3047206, 2017 - papers.ssrn.com
Problem: Most forecasting practitioners are unaware of discoveries from experimental
research over the past half-century that can be used to reduce errors, often by more than …
research over the past half-century that can be used to reduce errors, often by more than …