How to assess forecastability

Management Science

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

How to assess forecastability. / Kolassa, Stephan.
In: Foresight: The International Journal of Applied Forecasting, No. 13, 2009, p. 41-45.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Kolassa, S 2009, 'How to assess forecastability', Foresight: The International Journal of Applied Forecasting, no. 13, pp. 41-45. <https://foresight.forecasters.org/>

APA

Kolassa, S. (2009). How to assess forecastability. Foresight: The International Journal of Applied Forecasting, (13), 41-45. https://foresight.forecasters.org/

Vancouver

Kolassa S. How to assess forecastability. Foresight: The International Journal of Applied Forecasting. 2009;(13):41-45.

Author

Kolassa, Stephan. / How to assess forecastability. In: Foresight: The International Journal of Applied Forecasting. 2009 ; No. 13. pp. 41-45.

Bibtex

@article{3f370a78bf3144a6882c9d740fbd0561,

title = "How to assess forecastability",

abstract = "Concluding a section on How to Assess Forecastability (Foresight, Issue 13), Stephan Kolassa comments on papers by Peter Catt and John Boylan (in the same issue). Stephan contrasts Catt{\textquoteright}s preferred metric, approximate entropy, with Boylan{\textquoteright}s lowest achievable forecast error (lower bound), seeking a practical synthesis of the two views. He also expands upon the meaning of the entropy metric and discusses key issues in the entropy calculation. Copyright International Institute of Forecasters, 2009",

author = "Stephan Kolassa",

year = "2009",

language = "English",

pages = "41--45",

journal = "Foresight: The International Journal of Applied Forecasting",

issn = "1555-9068",

publisher = "International Institute of Forecasters",

number = "13",

}

RIS

TY - JOUR

T1 - How to assess forecastability

AU - Kolassa, Stephan

PY - 2009

Y1 - 2009

N2 - Concluding a section on How to Assess Forecastability (Foresight, Issue 13), Stephan Kolassa comments on papers by Peter Catt and John Boylan (in the same issue). Stephan contrasts Catt’s preferred metric, approximate entropy, with Boylan’s lowest achievable forecast error (lower bound), seeking a practical synthesis of the two views. He also expands upon the meaning of the entropy metric and discusses key issues in the entropy calculation. Copyright International Institute of Forecasters, 2009

AB - Concluding a section on How to Assess Forecastability (Foresight, Issue 13), Stephan Kolassa comments on papers by Peter Catt and John Boylan (in the same issue). Stephan contrasts Catt’s preferred metric, approximate entropy, with Boylan’s lowest achievable forecast error (lower bound), seeking a practical synthesis of the two views. He also expands upon the meaning of the entropy metric and discusses key issues in the entropy calculation. Copyright International Institute of Forecasters, 2009

M3 - Journal article

SP - 41

EP - 45

JO - Foresight: The International Journal of Applied Forecasting

JF - Foresight: The International Journal of Applied Forecasting

SN - 1555-9068

IS - 13

ER -

Research

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