Approximation of Sample Mean and Standard Deviation from Percentiles and Application to Reference Model for Sprint Time of Elite Soccer Players

The original goal of this project was to conduct meta-analysis and develop a reference model for 20-meter sprint time of elite soccer players with respect to age group. According to the likelihood function, we found that age-specific sample means and standard deviations are sufficient statistics. However, instead of the two sufficient statistics, the sample 10-th percentile, 90th-percentile, and quartiles were given to us. To deal with this unexpected challenge, we studied and compared methods of approximating the sample mean and standard deviation given various combinations of percentiles. Simulation studies showed that the likelihood method presented in this paper is superior when the sample 10-th percentile, 90-th percentile, and quartiles are given, and we applied the likelihood method to the meta-analysis and developed the reference model for 20-meter sprint time.

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Publication Details

Journal
International Journal of Statistics and Probability
Published
2024-08-31
DOI
https://doi.org/10.5539/ijsp.v13n3p25
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
0.00

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article

Approximation of Sample Mean and Standard Deviation from Percentiles and Application to Reference Model for Sprint Time of Elite Soccer Players

Steven Kim, Kyra Batarse, Jessica Naranj, Jakob Garcia
International Journal of Statistics and Probability
Sports Analytics and Performance
article

Approximation of Sample Mean and Standard Deviation from Percentiles and Application to Reference Model for Sprint Time of Elite Soccer Players

Steven Kim, Kyra Batarse, Jessica Naranj, Jakob Garcia
article en

Abstract

The original goal of this project was to conduct meta-analysis and develop a reference model for 20-meter sprint time of elite soccer players with respect to age group. According to the likelihood function, we found that age-specific sample means and standard deviations are sufficient statistics. However, instead of the two sufficient statistics, the sample 10-th percentile, 90th-percentile, and quartiles were given to us. To deal with this unexpected challenge, we studied and compared methods of approximating the sample mean and standard deviation given various combinations of percentiles. Simulation studies showed that the likelihood method presented in this paper is superior when the sample 10-th percentile, 90-th percentile, and quartiles are given, and we applied the likelihood method to the meta-analysis and developed the reference model for 20-meter sprint time.

International Journal of Statistics and ProbabilityVol. 13(3)
California State University, Monterey Bay (US)
California State University
Openalex Percentile: Top 82%
Sports Analytics and Performance
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