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Cricket performance managementmathem...
~
Bhattacharjee, Dibyojyoti.
Cricket performance managementmathematical formulation and analytics /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Cricket performance managementby Hemanta Saikia, Dibyojyoti Bhattacharjee, Diganta Mukherjee.
Reminder of title:
mathematical formulation and analytics /
Author:
Saikia, Hemanta.
other author:
Bhattacharjee, Dibyojyoti.
Published:
Singapore :Springer Singapore :2019.
Description:
xvi, 231 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
CricketData processing.
Online resource:
https://doi.org/10.1007/978-981-15-1354-1
ISBN:
9789811513541$q(electronic bk.)
Cricket performance managementmathematical formulation and analytics /
Saikia, Hemanta.
Cricket performance management
mathematical formulation and analytics /[electronic resource] :by Hemanta Saikia, Dibyojyoti Bhattacharjee, Diganta Mukherjee. - Singapore :Springer Singapore :2019. - xvi, 231 p. :ill., digital ;24 cm. - Indian statistical institute series,2523-3114. - Indian statistical institute series..
Chapter 1. Cricket, Statistics and Data Mining -- Chapter 2. Franchisee Cricket and Cricketer's Auction -- Chapter 3. Quantifying Performance of Cricketers -- Chapter 4. Fielding Performance Measure: Issues, Concern and Solution -- Chapter 5. Performance Based Market Valuation of Players -- Chapter 6. Impact of Age on Performance of Cricketers -- Chapter 7. Performing Under Difficulty: The Magical Pressure Index -- Chapter 8. Decision Making Approaches to Optimum Team Selection.
This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popular format of the game. The book highlights the performance quantification of cricketers (batsmen, bowlers, all-rounders, and wicket keepers), determining the market valuation of cricketers based on their on-field performances and the effect of age on the performance of the cricketers. It also provides a comprehensive overview of the different aspects of the game where quantitative techniques are beneficial, and highlights the use of statistical and data mining tools in analysing sports-related data and objective decision-making in sports. The book appeals to a wide readership, including postgraduate students of statistics/mathematics, data analysts, sports management bodies. It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects.
ISBN: 9789811513541$q(electronic bk.)
Standard No.: 10.1007/978-981-15-1354-1doiSubjects--Topical Terms:
855773
Cricket
--Data processing.
LC Class. No.: GV917 / .S25 2019
Dewey Class. No.: 796.3580285
Cricket performance managementmathematical formulation and analytics /
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Chapter 1. Cricket, Statistics and Data Mining -- Chapter 2. Franchisee Cricket and Cricketer's Auction -- Chapter 3. Quantifying Performance of Cricketers -- Chapter 4. Fielding Performance Measure: Issues, Concern and Solution -- Chapter 5. Performance Based Market Valuation of Players -- Chapter 6. Impact of Age on Performance of Cricketers -- Chapter 7. Performing Under Difficulty: The Magical Pressure Index -- Chapter 8. Decision Making Approaches to Optimum Team Selection.
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This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popular format of the game. The book highlights the performance quantification of cricketers (batsmen, bowlers, all-rounders, and wicket keepers), determining the market valuation of cricketers based on their on-field performances and the effect of age on the performance of the cricketers. It also provides a comprehensive overview of the different aspects of the game where quantitative techniques are beneficial, and highlights the use of statistical and data mining tools in analysing sports-related data and objective decision-making in sports. The book appeals to a wide readership, including postgraduate students of statistics/mathematics, data analysts, sports management bodies. It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects.
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Mathematics and Statistics (Springer-11649)
based on 0 review(s)
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000000177733
電子館藏
1圖書
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EB GV917 .S132 2019 2019
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0
1 records • Pages 1 •
1
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https://doi.org/10.1007/978-981-15-1354-1
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