Statistical parameters

Shape parameter

In probability theory and statistics, a shape parameter (also known as form parameter) is a kind of numerical parameter of a parametric family of probability distributionsthat is neither a location parameter nor a scale parameter (nor a function of these, such as a rate parameter). Such a parameter must affect the shape of a distribution rather than simply shifting it (as a location parameter does) or stretching/shrinking it (as a scale parameter does).For example, "peakedness" refers to how round the main peak is. (Wikipedia).

Shape parameter
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From playlist Shape: Angles

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We know about all kinds of one-dimensional parameters, like side lengths and what not, but now we want to talk about the two-dimensional area that a shape will occupy. This can be thought of as the amount of surface that a shape covers. In this clip, we go over some of the formulas we can

From playlist Geometry

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From playlist Geometry

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From playlist Create A Video For Data Science Website Using Fusion

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Related pages

Burr distribution | Fréchet distribution | Beta distribution | Moment (mathematics) | Skewness | Continuous uniform distribution | Gamma distribution | Skew normal distribution | Statistics | Inverse-gamma distribution | Exponential distribution | Location parameter | Weibull distribution | Method of moments (statistics) | Inverse Gaussian distribution | Dagum distribution | Generalized extreme value distribution | Log-t distribution | Pareto distribution | L-moment | Scale parameter | Log-logistic distribution | Wigner semicircle distribution | Pearson distribution | Probability distribution | Normal distribution | Raised cosine distribution | Higher-order statistics | Cauchy distribution | Tukey lambda distribution | Probability theory | Erlang distribution | Kurtosis | Logistic distribution