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Tuesday, May 09, 2017

What Age Do Baseball Players Peak? | Exploring Baseball Data with R

Some people have made some (in my view) unreasonable assumptions to learn about aging.  For example, it doesn’t make sense to assume that each player peaks at age 28.  People have different aging patterns — this means that players have different peak ages and also that players have different paths in maturing and in declining towards retirement.  So one need flexibility in any model to allow for these differences.  If one makes restrictive assumptions, then you’ll get answers which are inconsistent with the data.

Jim Furtado Posted: May 09, 2017 at 08:19 AM | 1 comment(s) Login to Bookmark
  Tags: aging, sabermetrics

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   1. Cargo Cultist Posted: May 09, 2017 at 11:50 AM (#5451730)
This was done a thousand times better a few weeks ago:

http://www.billjamesonline.com/aging_patterns/

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