Free access to 'Who is the Greatest Golfer?'


  • Author: Statistics Views
  • Date: 09 June 2014
  • Copyright: Rose D. Baker, Ian G. McHale and Statistics Views

Each week, we select an article hot off the press and provide free access for a limited period. This week's is from Scandinavian Journal of Statistics, available from Early View, whereby articles can be viewed prior to issue allocation.

To read the article in full, please click on the link below.

Deterministic Evolution of Strength in Multiple Comparisons Models: Who is the Greatest Golfer?
Rose D. Baker and Ian G. McHale

Scandinavian Journal of Statistics, Early View
DOI: 10.1111/sjos.12101


thumbnail image: Free access to 'Who is the Greatest Golfer?'

Baker and McHale present a statistical methodology for fitting time-varying rankings, by estimating the strength parameters of the Plackett–Luce multiple comparisons model at regularly spaced times for each ranked item. They use the little-known method of barycentric rational interpolation to interpolate between the strength parameters so that a competitor's strength can be evaluated at any time. The authors chose the time-varying strengths to evolve deterministically rather than stochastically, a preference that we reason often has merit. There are many statistical and computational problems to overcome on fitting anything beyond ‘toy’ data sets. The methodological innovations here include a method for maximizing a likelihood function for many parameters, approximations for modelling tied data and an approach to the elimination of secular drift of the estimated ‘strengths’. The methodology has obvious applications to fields such as marketing, although Baker and McHale demonstrate our approach by analysing a large data set of golf tournament results, in search of an answer to the question ‘who is the greatest golfer of all time?’

Related Topics

Related Publications

Related Content

Site Footer


This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.