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    Calculating representative value for data




    Assume there are ten data with values a_1, a_2, ..., a_10 each with different non-symmetric errors. The problem confronting me in brief is, to combine the 10 results a_i and their associated non-symmetric errors according to some acceptable precept so as to determine the value of a and its errors which best represents the aggregate of observations.

    I would appreciate any insight into this problem.

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    Re: Calculating representative value for data

    The problem is part of meta-analysis. This is a relatively advanced area of statistics, requiring more than 3 sentences. The two most popular methods are "fixed effects" and "random effects", but there is much more to the field. The following slides may serve as the start:

    https://www.stata.com/meeting/10uk/meta_stata.pdf

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    Re: Calculating representative value for data

    Quote Originally Posted by puma31 View Post
    I would appreciate any insight into this problem.
    But you have already asked about that in this thread. It is just confusing (e.g. for staassis) if you start a new thread and they are not aware of the context. Stick to one thread.

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    Re: Calculating representative value for data


    Thank you both for your kind advice and help. The meta-analysis link seems close to what I need.

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