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The golden rule of forecasting: objections, refinements, and enhancements

İsim The golden rule of forecasting: objections, refinements, and enhancements
Yazar Soyer, Emre, Hogarth, R. M.
Basım Tarihi: 2015-08
Basım Yeri - Elsevier
Konu Conservative, Golden Rule, Scenario, Simulation
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 0148-2963
Kayıt Numarası 6e9f70ce-a482-437c-8edb-8946a2d7db36
Lokasyon Business Administration
Tarih 2015-08
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin In providing a “golden rule” for forecasting, Armstrong, Green, and Graefe (this issue) raise aspirations that reliable forecasting is possible. They advocate a conservative approach that mainly involves extrapolating from the present. We comment on three issues that relate to their proposed Golden Rule: its scope of application, the importance of highly improbable events, and the challenges of communicating forecasts.
DOI 10.1016/j.jbusres.2015.03.029
Cilt 68
Kaynağa git Özyeğin Üniversitesi Özyeğin Üniversitesi
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The golden rule of forecasting: objections, refinements, and enhancements

Yazar Soyer, Emre, Hogarth, R. M.
Basım Tarihi 2015-08
Basım Yeri - Elsevier
Konu Conservative, Golden Rule, Scenario, Simulation
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 0148-2963
Kayıt Numarası 6e9f70ce-a482-437c-8edb-8946a2d7db36
Lokasyon Business Administration
Tarih 2015-08
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin In providing a “golden rule” for forecasting, Armstrong, Green, and Graefe (this issue) raise aspirations that reliable forecasting is possible. They advocate a conservative approach that mainly involves extrapolating from the present. We comment on three issues that relate to their proposed Golden Rule: its scope of application, the importance of highly improbable events, and the challenges of communicating forecasts.
DOI 10.1016/j.jbusres.2015.03.029
Cilt 68
Özyeğin Üniversitesi
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