Difference between revisions of "Ragged holes"

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Throughout the rest of this site we assume that we can measure the location of each and every shot on a target.  It is possible -- and with larger shot groups and/or more precise rifles increasingly likely -- that the target will exhibit a "ragged hole" into which one or more shots has disappeared.
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Throughout the rest of this site we assume that we can measure the location of each and every shot on a target.  It is possible — and with larger shot groups and/or more precise rifles increasingly likely — that the target will exhibit a "ragged hole" into which one or more shots has disappeared.
  
 
This is known as a "center-censored" sample.  [http://stats.stackexchange.com/questions/76533/estimating-variance-of-center-censored-normal-samples A detailed explanation and discussion of the problem is here], but presently no good mathematical solutions have come up.
 
This is known as a "center-censored" sample.  [http://stats.stackexchange.com/questions/76533/estimating-variance-of-center-censored-normal-samples A detailed explanation and discussion of the problem is here], but presently no good mathematical solutions have come up.

Revision as of 23:07, 13 June 2014

Throughout the rest of this site we assume that we can measure the location of each and every shot on a target. It is possible — and with larger shot groups and/or more precise rifles increasingly likely — that the target will exhibit a "ragged hole" into which one or more shots has disappeared.

This is known as a "center-censored" sample. A detailed explanation and discussion of the problem is here, but presently no good mathematical solutions have come up.

In practice, given a target with a ragged hole and a small number of "censored" shots, it is probably adequate to place them evenly inside the hole. If the number of censored shots is large a better solution is to:

  1. Set p = proportion of shots that were censored.
  2. Find the smallest sigma such that CEP(p) covers the ragged hole.

The best solution is to avoid this problem in the first place: Shoot no more than three rounds per target, and then aggregate them into a data set. Software to automate this process exists, e.g.,

Another easy and powerful approach is to use Brent Danielson's clever 2-shot method of generating and analyzing data.