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  2. Zero-inflated model - Wikipedia

    en.wikipedia.org/wiki/Zero-inflated_model

    Count data can take values of 0, 1, 2, … (non-negative integer values). [ 2 ] Other examples of count data are the number of hits recorded by a Geiger counter in one minute, patient days in the hospital, goals scored in a soccer game, [ 3 ] and the number of episodes of hypoglycemia per year for a patient with diabetes.

  3. Median - Wikipedia

    en.wikipedia.org/wiki/Median

    The median is 2 in this case, as is the mode, and it might be seen as a better indication of the center than the arithmetic mean of 4, which is larger than all but one of the values. However, the widely cited empirical relationship that the mean is shifted "further into the tail" of a distribution than the median is not generally true.

  4. Skewness - Wikipedia

    en.wikipedia.org/wiki/Skewness

    The skewness is not directly related to the relationship between the mean and median: a distribution with negative skew can have its mean greater than or less than the median, and likewise for positive skew. [2] A general relationship of mean and median under differently skewed unimodal distribution.

  5. Negative number - Wikipedia

    en.wikipedia.org/wiki/Negative_number

    For example, −3 represents a negative quantity with a magnitude of three, and is pronounced and read as "minus three" or "negative three". Conversely, a number that is greater than zero is called positive; zero is usually (but not always) thought of as neither positive nor negative. [2]

  6. Median absolute deviation - Wikipedia

    en.wikipedia.org/wiki/Median_absolute_deviation

    It has a median value of 2. The absolute deviations about 2 are (1, 1, 0, 0, 2, 4, 7) which in turn have a median value of 1 (because the sorted absolute deviations are (0, 0, 1, 1 , 2, 4, 7)). So the median absolute deviation for this data is 1.

  7. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The negative predictive value is defined as: = + = where a "true negative" is the event that the test makes a negative prediction, and the subject has a negative result under the gold standard, and a "false negative" is the event that the test makes a negative prediction, and the subject has a positive result under the gold standard.

  8. AOL Mail for Verizon Customers - AOL Help

    help.aol.com/products/aol-mail-verizon

    AOL Mail welcomes Verizon customers to our safe and delightful email experience!

  9. Interquartile range - Wikipedia

    en.wikipedia.org/wiki/Interquartile_range

    Each quartile is a median [8] calculated as follows. Given an even 2n or odd 2n+1 number of values first quartile Q 1 = median of the n smallest values third quartile Q 3 = median of the n largest values [8] The second quartile Q 2 is the same as the ordinary median. [8]