Forecastingprinciples.com Website Review


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Is forecastingprinciples.com legit?
Website Value $221
Alexa Rank 1906029
Monthly Visits 2453
Daily Visits 82
Monthly Earnings $12.27
Daily Earnings $0.41
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Forecastingprinciples.com Server Location

Country: Australia
Metropolitan Area: Sydney
Postal Reference Code: 2000
Latitude: -33.8591
Longitude: 151.2002




Summarized Content

Scott Armstrong presented a commentary on the findings of the M4-Competition at the M4 Conference in New York City on December 10, 2018. The paper, by Scott Armstrong and Kesten Green, concludes that data models should not be used for forecasting, describing six reasons why. The reasons are not new—for example Einhorn pointed out the lack of theoretical support in Alchemy in the behavioral sciences in. M COMPETITIONS AND THE M4 FORECASTING CONFERENCE, NEW YORK CITY, DECEMBER 10TH AND 11TH 2018. Accurate predictions and the correct as*essment of uncertainty are indispensable for all types of future oriented decisions: from determining appropriate inventory levels and predicting the amount of sales of companies to forecasting revenues and costs and the formulation of a long-term strategy. The purpose of the Makridakis, or M, Competitions has been to provide empirical evidence to guide organizations on how to improve the accuracy of their forecasts and how to as*ess future uncertainty as realistically as possible. Scott Armstrong presented a paper with Kesten Green at the International Symposium on Forecasting in Boulder, CO, on 19 June titled Do Forecasters of Dangerous Manmade Global Warming Follow the Science?. A pdf copy of the slides is available from ResearchGate, With the proliferation of taxes, subsidies, and regulations being justified by appealing to predictions of dangerous manmade global warming, Scott Armstrong and Kesten Green believe that climate change is currently the most important forecasting problem in the world. With that in mind, Scott will present their latest research on the topic at the International Symposium on Forecasting in Boulder, Colorado, on the science?. For some background on the topic, see Scott's essay describing their research has been posted under the title of Is the. PUBLISHED VERSION OF FORECASTING METHODS AND PRINCIPLES: EVIDENCE-BASED CHECKLISTS. The authors of Forecasting methods and principles: Evidence-based checklists—Scott Armstrong and Kesten Green—are pleased to


Forecastingprinciples Main Page Content

HTML Tag Content Informative?
Title: Forprin Could be improved
Description: The Forecasting Principles site summarizes all useful knowledge about forecasting so that it can be used by researchers, practitioners, and educators. The site is devoted to improving decision making by furthering scientific
H1: About ForPrinIs it informative enough?
H2: "Do not use data models for forecasting": Paper at M4 Conference
H3: Translate SiteIs it informative enough?

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Internal Pages

/index.php/methodology-tree:
Title

Methodology Tree

Description

The Forecasting Principles site summarizes all useful knowledge about forecasting so that it can be used by researchers, practitioners, and educators. The site is devoted to improving decision making by furthering scientific forecasting.

H2

Methodology Tree

H3

Translate Site

/index.php/selection-tree:
Title

Selection Tree

Description

The Forecasting Principles site summarizes all useful knowledge about forecasting so that it can be used by researchers, practitioners, and educators. The site is devoted to improving decision making by furthering scientific forecasting.

H2

Methods Checklist

H3

Translate Site

/index.php/forecasting-audit:
Title

Forecasting Audit

Description

The Forecasting Principles site summarizes all useful knowledge about forecasting so that it can be used by researchers, practitioners, and educators. The site is devoted to improving decision making by furthering scientific forecasting.

H2

Forecasting Audit

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/index.php/principles-checklist:
Title

Principles Checklist

Description

The Forecasting Principles site summarizes all useful knowledge about forecasting so that it can be used by researchers, practitioners, and educators. The site is devoted to improving decision making by furthering scientific forecasting.

H2

Principles Checklist

H3

Translate Site

/index.php/forecasting-dictionary:
Title

Forecasting Dictionary

Description

The Forecasting Principles site summarizes all useful knowledge about forecasting so that it can be used by researchers, practitioners, and educators. The site is devoted to improving decision making by furthering scientific forecasting.

H2

Forecasting dictionary

H3

Translate Site

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