Kurtosis is the degree of peakedness of a distribution, defined as a normalized form of the fourth central moment
of a distribution. There are several flavors of kurtosis commonly encountered, including the kurtosis proper, denoted
or
defined by
| (1) |
where
denotes the
th central moment (and in particular,
is the variance). This form is implemented in Mathematica as Kurtosis[dist].
The kurtosis "excess" is denoted
or
, is defined by
| (2) |
and is implemented in Mathematica as KurtosisExcess[dist]. Kurtosis excess is commonly used because
of a normal distribution is equal to 0, while the kurtosis proper is equal to 3.
Unfortunately, Abramowitz and Stegun (1972) confusingly refer to
as the "excess or kurtosis."
Lepto-Kurtic: - If a curve is more peaked than normal curve then it is colled Lepto-Kurtic.
Platy-Kurtic: - If a curve is more flat-tapped than normal curve then it is called Platy-Kurtic.
Meso-Kurtic: -The curve representing a normal shape in a frequency distribution is called Meso-Kurtic.
Platy-Kurtic: - If a curve is more flat-tapped than normal curve then it is called Platy-Kurtic.
Meso-Kurtic: -The curve representing a normal shape in a frequency distribution is called Meso-Kurtic.

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