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DescriçãoPearson type VII distribution PDF.svg	English: Probability density function of the Pearson type VII distribution The red curve shows the limiting density with infinite kurtosis; the blue curve shows the density with kurtosis equal to 2; the black curve shows the limiting (normal) density with kurtosis identically zero.
Data	26 de maio de 2020
Origem	MarkSweep
Autor	Original: MarkSweep   Vetor: Andel
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Outras versões	File:Pearson_type_VII_distribution_log-PDF.svg File:Pearson_type_VII_distribution_PDF.png File:Pearson_type_VII_distribution_log-PDF.png
SVG desenvolvimento InfoField	O código-fonte desta imagem SVG é válido.   Este(a) desenho vetorial foi criado com o Gnuplot
Código fonte InfoField	Gnuplot code # the Pearson type VII log-pdf log_p7(x,a2,m) = lgamma(m) - lgamma(m-0.5) - m*log(1+x*x/a2) - 0.5*log(a2*pi) # the Pearson type VII log-pdf with unit variance and kurtosis k f(x,k) = log_p7(x, 2+6.0/k, 2.5+3.0/k) # the standard normal log-pdf (with unit variance and kurtosis 0) n(x) = -0.5 * (x*x + log(2*pi)) # the limit of the Pearson type VII log-pdf for k -> infinity g(x) = -2.5 * log(2 + x*x) + log(3) set samples 1001 set grid set xrange [-10.4:10.4] set xtics 1 set yrange [-0.02:0.57] set ytics (0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.39894, 0.45553, 0.5, 0.53033) set terminal svg size 400,300 enhanced fname 'DejaVu Sans' fsize 10 butt solid set output 'Pearson type VII distribution PDF.svg' plot exp(g(x)) lt 1 lw 2 notitle, \ exp(f(x,2)) lt 3 lw 2 notitle, \ exp(n(x)) lt 7 lw 2 notitle

Background

The Pearson type VII family of probability densities is a special case of the type IV family restricted to symmetric densities. The probability density function is given by

Failed to parse (syntax error): {\displaystyle f(x; a^2, m) = \frac{\Gamma(m)}{\Gamma(m-1/2)\,\sqrt{a^2\,\pi}} \left(1+\frac{x^2}{a^2}\right)^{-m}. \!}

All densities in this family are symmetric with zero mean. Setting ${\displaystyle a^{2}=2m-3}$ makes the variance equal to unity. Then the only free parameter is m, which controls the fourth moment (and cumulant) and hence the kurtosis. One can reparameterize with ${\displaystyle m=5/2+3/k}$ where k is the kurtosis to obtain a one-parameter leptokurtic family with zero mean, unit variance, zero skew, and arbitrary positive kurtosis k.

In the limit as ${\displaystyle k\to \infty }$ one obtains the density

${\displaystyle g(x)=3\left(2+x^{2}\right)^{-5/2}\!}$

shown as the red curve. In the other direction as ${\displaystyle k\to 0}$ one obtains the standard normal density as the limiting distribution, shown as the black curve.