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I'm trying to compare data I have to other data for which I have mean and std (normally distributed). My data consists of several varibales, some of which are interval censored due to machine limit of detection. I can deduce the quantiles but is there any other statistic I can deduce which will assist on comparing the parameter rather than the sample statistics?

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    $\begingroup$ This is rather sparse. Can you say more about your situation, your data & your goals here? Can you provide some example data? $\endgroup$ – gung - Reinstate Monica May 8 '16 at 19:32
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    $\begingroup$ There are regression models for interval censored data, but it's unclear exactly what you are looking for: what is the parameter of interest that you are referring too? $\endgroup$ – Cliff AB May 8 '16 at 19:40
  • $\begingroup$ I'm mostly trying to compare the data collected to a known mean and std to establish whether the data is derived from a similiar population as well as provide either mean and std for the new data or confidence interval to allow that comparison. I am not sure how the previous mean and std were calculated to avoid this problem but for the time being I need to assume the statistics provided for comparison are as given to me. $\endgroup$ – Miki May 17 '16 at 18:38

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