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Categorizing continuous data

 
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npatel3



Joined: 26 Jul 2010
Posts: 1

PostPosted: Mon Jul 26, 2010 1:35 pm    Post subject: Categorizing continuous data Reply with quote

When categorizing continuous data (such as birth year), the categories HAVE to be mutually exclusive. Is there any statistical merit in overlapping categories shown below to reduce ‘noise’ in data? I haven’t been able to find anything in the literature.

1958: 1956 to 1960
1959: 1957 to 1961
1960: 1958 to 1962

Nita
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alethephant



Joined: 06 Sep 2006
Posts: 200
Location: Virginia Beach

PostPosted: Mon Jul 26, 2010 7:00 pm    Post subject: Categorizing continuous data Reply with quote

This appears to be simple smoothing.

Whether there is merit in it or not depends upon how important the information is that's lost, what you are trying to do, and why you are doing it.

The general procedure is "windowing", and doesn't have to be categorization.
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