Count of items as squared sum over sum of squares











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If I have made 3 identical purchases of (£2, £2, £2) then this formula gives a measure of the number of purchases:



$N = frac{(sum v_i)^2}{sum v_i^2}$



In this example:
$(sum v_i)^2 = 6^2 = 36$ and $sum v_i^2 = 4 + 4 + 4 = 12$ so N is calculated as 3, which happily agrees with the simple count of purchases.



In the example where purchases are (£1, £5, £5) then $(sum v_i)^2 = 11^2 = 121$ and $sum v_i^2 = 1 + 25 + 25 = 51$ so N is calculated as 2.4.



The background to this question is that I've been given this formula to measure an "effective count" and I want understand clearly what it's measuring. I can see that it takes account of variation in the individual values, perhaps reducing an item's weight / importance as it gets further from the simple mean? Is there a standard name for this type of statistical measure of the number of values so that I can read more about it?










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    up vote
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    down vote

    favorite












    If I have made 3 identical purchases of (£2, £2, £2) then this formula gives a measure of the number of purchases:



    $N = frac{(sum v_i)^2}{sum v_i^2}$



    In this example:
    $(sum v_i)^2 = 6^2 = 36$ and $sum v_i^2 = 4 + 4 + 4 = 12$ so N is calculated as 3, which happily agrees with the simple count of purchases.



    In the example where purchases are (£1, £5, £5) then $(sum v_i)^2 = 11^2 = 121$ and $sum v_i^2 = 1 + 25 + 25 = 51$ so N is calculated as 2.4.



    The background to this question is that I've been given this formula to measure an "effective count" and I want understand clearly what it's measuring. I can see that it takes account of variation in the individual values, perhaps reducing an item's weight / importance as it gets further from the simple mean? Is there a standard name for this type of statistical measure of the number of values so that I can read more about it?










    share|cite|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      If I have made 3 identical purchases of (£2, £2, £2) then this formula gives a measure of the number of purchases:



      $N = frac{(sum v_i)^2}{sum v_i^2}$



      In this example:
      $(sum v_i)^2 = 6^2 = 36$ and $sum v_i^2 = 4 + 4 + 4 = 12$ so N is calculated as 3, which happily agrees with the simple count of purchases.



      In the example where purchases are (£1, £5, £5) then $(sum v_i)^2 = 11^2 = 121$ and $sum v_i^2 = 1 + 25 + 25 = 51$ so N is calculated as 2.4.



      The background to this question is that I've been given this formula to measure an "effective count" and I want understand clearly what it's measuring. I can see that it takes account of variation in the individual values, perhaps reducing an item's weight / importance as it gets further from the simple mean? Is there a standard name for this type of statistical measure of the number of values so that I can read more about it?










      share|cite|improve this question













      If I have made 3 identical purchases of (£2, £2, £2) then this formula gives a measure of the number of purchases:



      $N = frac{(sum v_i)^2}{sum v_i^2}$



      In this example:
      $(sum v_i)^2 = 6^2 = 36$ and $sum v_i^2 = 4 + 4 + 4 = 12$ so N is calculated as 3, which happily agrees with the simple count of purchases.



      In the example where purchases are (£1, £5, £5) then $(sum v_i)^2 = 11^2 = 121$ and $sum v_i^2 = 1 + 25 + 25 = 51$ so N is calculated as 2.4.



      The background to this question is that I've been given this formula to measure an "effective count" and I want understand clearly what it's measuring. I can see that it takes account of variation in the individual values, perhaps reducing an item's weight / importance as it gets further from the simple mean? Is there a standard name for this type of statistical measure of the number of values so that I can read more about it?







      statistics






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      asked Nov 22 at 8:47









      David B

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