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Stats Project

  1. Dec 19, 2007 #1
    I want to test a series of 36 time periods and 10 data points for each one of those periods. The goal is to see which data points have the biggest effect on change from one period to the next.

    I thought Chi-Square was the way to go, but I do not have any expected frequencies here. Regression analysis is more of a prediction/forecasting model? What statistical model should I use here?
     
  2. jcsd
  3. Dec 19, 2007 #2

    EnumaElish

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    A decent stats package will provide outlier detection as part of their basic regression subroutine.

    For SAS, see:http://www2.sas.com/proceedings/sugi24/Infovis/p161-24.pdf[/url] and [url]http://www2.tltc.ttu.edu/westfall/images/5349/outliers_what_to_do.htm [Broken]

    Your regression model could be y(i, t) = a + b y(i, t-1) where y(i,t) (i = 1, ..., 10) corresponds to the 10 different observations in period t. (Similarly for t-1.)
     
    Last edited by a moderator: Apr 23, 2017 at 9:37 AM
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