國立虎尾科技大學 |

Cricket Performance Management = Mathematical Formulation and Analytics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Cricket Performance Management/ by Hemanta Saikia, Dibyojyoti Bhattacharjee, Diganta Mukherjee.
Reminder of title:	Mathematical Formulation and Analytics /
Author:	Saikia, Hemanta.
other author:	Bhattacharjee, Dibyojyoti.
Description:	XVI, 231 p.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics. -
Online resource:	https://doi.org/10.1007/978-981-15-1354-1
ISBN:	9789811513541

Cricket Performance Management = Mathematical Formulation and Analytics /
Saikia, Hemanta.

Cricket Performance ManagementMathematical Formulation and Analytics /[electronic resource] :by Hemanta Saikia, Dibyojyoti Bhattacharjee, Diganta Mukherjee. - 1st ed. 2019. - XVI, 231 p.online resource. - 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

Standard No.: 10.1007/978-981-15-1354-1doiSubjects--Topical Terms:

556824
Statistics.

LC Class. No.: HA

Dewey Class. No.: 519.5

Cricket Performance Management = Mathematical Formulation and Analytics /
LDR:03075nam a22004215i 4500 001 1005079
003 DE-He213
005 20200705030226.0
007 cr nn 008mamaa
008 210106s2019 si | s |||| 0|eng d
020 $a 9789811513541 $9 978-981-15-1354-1
024 7 $a 10.1007/978-981-15-1354-1 $2 doi
035 $a 978-981-15-1354-1
050 4 $a HA
050 4 $a QA276-280
072 7 $a PDZM $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PDZ $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Saikia, Hemanta. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1298580
245 1 0 $a Cricket Performance Management $h [electronic resource] : $b Mathematical Formulation and Analytics / $c by Hemanta Saikia, Dibyojyoti Bhattacharjee, Diganta Mukherjee.
250 $a 1st ed. 2019.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a XVI, 231 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Indian Statistical Institute Series, $x 2523-3114
505 0 $a 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.
520 $a 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.
650 0 $a Statistics. $3 556824
650 0 $a Statistics . $3 1253516
650 1 4 $a Popular Science in Statistics. $3 1114886
650 2 4 $a Statistics, general. $3 671463
700 1 $a Bhattacharjee, Dibyojyoti. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1298581
700 1 $a Mukherjee, Diganta. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1272576
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811513534
776 0 8 $i Printed edition: $z 9789811513558
776 0 8 $i Printed edition: $z 9789811513565
830 0 $a Indian Statistical Institute Series, $x 2523-3114 $3 1279537
856 4 0 $u https://doi.org/10.1007/978-981-15-1354-1
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)