Pearson Curves

a family of distribution curves—that is, curves y = y(x) representing the dependence on x of the probability density—that satisfy the differential equation

where a, b₀, b₁, and b₂ are real numbers. Pearson curves are classified into 12 types, depending on the values of the parameters a, b₀, b₁, and b₂ and on the range of x. Examples of Pearson curves are the normal distribution, Student’s distribution, and the x² distribution.

Any Pearson curve y (x) is uniquely determined by its first four moments:

Pearson curves sometimes are used, on the basis of this property, in mathematical statistics for approximate representation of an unknown density p(x). For example, let there be a large series of independent observations x₁, x₂, …, x_n of a random variable x with an unknown probability density p(x). Using the method of moments, we assume that

and for an approximate representation of p(x) we select a Pearson curve y(x) such that

Pearson curves were first used to construct empirical densities by the English mathematician K. Pearson in 1894.

REFERENCE

Kendall, M., and A. Stuart. Teoriia raspredelenii. Moscow, 1966. (Translated from English.)

单词	pearson curves
释义	Pearson Curves Pearson Curves a family of distribution curves—that is, curves y = y(x) representing the dependence on x of the probability density—that satisfy the differential equation where a, b₀, b₁, and b₂ are real numbers. Pearson curves are classified into 12 types, depending on the values of the parameters a, b₀, b₁, and b₂ and on the range of x. Examples of Pearson curves are the normal distribution, Student’s distribution, and the x² distribution. Any Pearson curve y (x) is uniquely determined by its first four moments: Pearson curves sometimes are used, on the basis of this property, in mathematical statistics for approximate representation of an unknown density p(x). For example, let there be a large series of independent observations x₁, x₂, …, x_n of a random variable x with an unknown probability density p(x). Using the method of moments, we assume that and for an approximate representation of p(x) we select a Pearson curve y(x) such that Pearson curves were first used to construct empirical densities by the English mathematician K. Pearson in 1894. REFERENCE Kendall, M., and A. Stuart. Teoriia raspredelenii. Moscow, 1966. (Translated from English.)
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