Statistical Analysis of the Elo Rating System in Chess

CHANCE ◽  
2020 ◽  
Vol 33 (3) ◽  
pp. 31-38
Author(s):  
Arthur Berg
Keyword(s):  
Statistical Analysis ◽  
Rating System ◽  
Elo Rating System

scholarly journals Who is the ‘Journal Grand Master’? A new ranking based on the Elo rating system

2017 ◽  
Vol 11 (3) ◽  
pp. 800-809 ◽  
Author(s):  
Robert Lehmann ◽  
Klaus Wohlrabe
Keyword(s):  
Rating System ◽  
Elo Rating System

Modification and statistical analysis of the Colorado Rockfall Hazard Rating System

2009 ◽  
Vol 104 (1-2) ◽  
pp. 55-65 ◽  
Author(s):  
Paul M. Santi ◽  
Christopher P. Russell ◽  
Jerry D. Higgins ◽  
Jessica I. Spriet
Keyword(s):  
Statistical Analysis ◽  
Rating System ◽  
Rockfall Hazard ◽  
Hazard Rating

Forecasting sales of new virtual goods with the Elo rating system

2014 ◽  
Vol 13 (6) ◽  
pp. 457-469 ◽  
Author(s):  
Lin Yang ◽  
Stanko Dimitrov ◽  
Benny Mantin
Keyword(s):  
Rating System ◽  
Elo Rating System

LEED-NCV3 SILVER AND GOLD CERTIFIED PROJECTS IN THE US: AN OBSERVATIONAL STUDY

2018 ◽  
Vol 13 (2) ◽  
pp. 67-83 ◽  
Author(s):  
Svetlana Pushkar ◽  
Oleg Verbitsky
Keyword(s):  
Statistical Analysis ◽  
Environmental Design ◽  
Rating System ◽  
Measurement Scale ◽  
Clear Understanding ◽  
Decision Strategies ◽  
Ratio Measurement ◽  
The Us ◽  
New Construction ◽  
Ordinal Measurement

The Leadership in Energy and Environmental Design (LEED) rating system has been widely used in the US. However, until now, there has been no clear understanding of the strategies that should be used to make the transition from Silver to Gold certified projects. The aim of this study was to determine the trends in certified projects for both Silver and Gold LEED for New Construction and Major Renovations (LEED-NCv3) in 2016. Three performances, including (i) certification, (ii) category/subcategory/sub-subcategory certification, and (iii) cross-certification, were evaluated for both Silver and Gold LEED-NCv3 certified projects. For an ordinal measurement scale, a two-tailed Mann-Whitney U test was used. For a ratio measurement scale, an unpaired two-tailed t-test was used. If eight or more Silver and Gold certified projects occurred in the same state, then the state was selected for statistical analysis. As a result, ten states were selected. The following was revealed: (i) low certification performances for both Silver and Gold; (ii) high category performance for Sustainable Sites and Innovation in Design and low category performance for Energy and Atmosphere for both Silver and Gold projects; and (iii) three different strategies of certified projects in transition from Silver to Gold that include (a) energy-emphasized (e.g., CA), (b) non-energy-emphasized (e.g., NY), and (c) integrated (e.g., GA) strategies. We speculate that the possible reasons for such deviations in the decision strategies were due to differences between the adopted ASHRAE 90.1 standards (ASHRAE Standard 90.1 2007 or ASHRAE Standard 90.1 2010) in each of the states.

scholarly journals Boltzmann and Fokker–Planck Equations Modelling the Elo Rating System with Learning Effects

2018 ◽  
Vol 29 (3) ◽  
pp. 1095-1128 ◽  
Author(s):  
Bertram Düring ◽  
Marco Torregrossa ◽  
Marie-Therese Wolfram
Keyword(s):  
Rating System ◽  
Learning Effects ◽  
Elo Rating System ◽  
Fokker Planck Equations ◽  
Fokker Planck
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