Measuring batting parameters in cricket: A two-stage regression-OWA method

Gholam R. Amin, Sujeet Kumar Sharma

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The selection of cricket players by team selectors and sponsors for endorsement of products is primarily dependent on the performance of players in terms of various parameters in their areas of expertise such as batting or bowling. This paper proposes a two-stage method for measuring and ranking batting parameters in cricket using ordered weighted averaging (OWA) operator and regression. The first stage measures the performance of batsmen using OWA operator followed by ranking of batting parameters using regression. The study reveals that the ranking obtained for batting parameters is not sensitive to changes in the OWA weights. A real dataset of 40 batsmen from Indian Premier League 2011 is considered for analysis purpose. Although this paper focuses only on the batting discipline the results from this paper can be extended to investigate bowling discipline using multiple parameters. These results can be implemented to enhance the quality of decision making.

Original languageEnglish
Pages (from-to)56-61
Number of pages6
JournalMeasurement: Journal of the International Measurement Confederation
Volume53
DOIs
Publication statusPublished - Jul 1 2014

Fingerprint

crickets
Averaging Method
regression analysis
Regression
Decision making
ranking
regression
Ranking
Averaging Operators
operators
selectors
Selector
decision making
Expertise
performance
Averaging
expertise
Decision Making
Dependent
products

Keywords

  • Batsmen
  • Cricket
  • Indian Premier League
  • Ordered weighted averaging
  • Regression

ASJC Scopus subject areas

  • Statistics and Probability
  • Education
  • Condensed Matter Physics
  • Applied Mathematics

Cite this

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