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27 cze 2022 · Kurtosis is a measure of the tailedness of a distribution. Tailedness is how often outliers occur. Excess kurtosis is the tailedness of a distribution relative to a normal distribution. Distributions with medium kurtosis (medium tails) are mesokurtic. Distributions with low kurtosis (thin tails) are platykurtic.
In probability theory and statistics, kurtosis (from Greek: κυρτός, kyrtos or kurtos, meaning "curved, arching") refers to the degree of “tailedness” in the probability distribution of a real-valued random variable.
8 lut 2022 · Kurtosis is a statistic that measures the extent to which a distribution contains outliers. It assesses the propensity of a distribution to have extreme values within its tails. There are three kinds of kurtosis: leptokurtic, platykurtic, and mesokurtic.
31 lip 2024 · Kurtosis is a statistical measure used to describe the distribution of observed data around the mean. It is used to describe tail risk found in certain investments.
31 lip 2023 · Kurtosis is a statistical measure used to describe the degree to which scores cluster in the tails or the peak of a frequency distribution. The peak is the tallest part of the distribution, and the tails are the ends of the distribution.
6 gru 2023 · While there are visuals to do the task, you need more reliable metrics to quantify various characteristics of distributions. Two of such metrics are skewness and kurtosis. You can use them to assess the resemblance between your distributions and a perfect, normal distribution.
28 lut 2024 · Coming from the ancient Greek name κύρτωσις (meaning curvature), Kurtosis is a statistical tool for measuring the sharpness and kurtosis of the distribution of a real random value. Kurtosis corresponds to the probability and/or frequency of occurrence of outliers (i.e. values that are extremely high or extremely low in relation to the mean).
