Category:Skewness
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This category contains results about Skewness.
Skewness is a measure of the asymmetry of a probability distribution about its mean.
Let $X$ be a random variable with mean $\mu$ and standard deviation $\sigma$.
Then the skewness of $X$, usually denoted $\gamma_1$, is defined as:
- $\gamma_1 = \expect {\paren {\dfrac {X - \mu} \sigma}^3}$
where $\expect X$ denotes the expectation of $X$.
Subcategories
This category has the following 3 subcategories, out of 3 total.
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Pages in category "Skewness"
The following 21 pages are in this category, out of 21 total.
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- Skewness in terms of Non-Central Moments
- Skewness of Bernoulli Distribution
- Skewness of Beta Distribution
- Skewness of Binomial Distribution
- Skewness of Chi-Squared Distribution
- Skewness of Continuous Uniform Distribution
- Skewness of Erlang Distribution
- Skewness of Exponential Distribution
- Skewness of F-Distribution
- Skewness of Gamma Distribution
- Skewness of Gaussian Distribution
- Skewness of Geometric Distribution
- Skewness of Geometric Distribution/Formulation 1
- Skewness of Geometric Distribution/Formulation 2
- Skewness of Hat-Check Distribution
- Skewness of Log Normal Distribution
- Skewness of Logistic Distribution
- Skewness of Pareto Distribution
- Skewness of Poisson Distribution
- Skewness of Student's t-Distribution
- Skewness of Weibull Distribution