A positive kurtosis value indicates a relatively peaked distribution and a negative kurtosis value indicates a relatively flat distribution.

A positive kurtosis value indicates a relatively peaked distribution and a negative kurtosis value indicates a relatively flat distribution.

Depending on the tool used, you can calculate another value instead of kurtosis, the excess of kurtosis.

For each block, the sharpness according to the Kurtosis of the DCT is computed (16).

A normal distribution has a kurtosis of exactly 3.

Standard normal distributions have a kurtosis equal to three.

A positive kurtosis value indicates a relatively peaked distribution.

Kurtosis of the normal distribution is equal to 0.

The kurtosis of a normal distribution is equal to 3.

The kurtosis of a normal distribution has a value of 3, so the excess Kurtosis is calculated as:

KURT returns the kurtosis, a measure of how peaked or flat a distribution is, relative to a normal distribution.

Positive Kurtosis indicates a relatively peaked distribution.

Positive kurtosis indicates a relatively peaked distribution.

Positive kurtosis indicates a more peaked distribution.

A positive kurtosis value indicates a relatively peaked distribution.