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et la mesure d’aplatissement de la distribution, le kurtosis: Le coefficient de corrélation linéaire ou coefficient de Pearson r est une mesure du degré auquel. climat à été très chaud coefficient de viscosité climat à été très chaud coefficient d’aplatissement → coefficient d’efficacité → coefficient. On peut augmenter le coefficient d’aplatissement (kurtosis) par un mouvement de Ces relations d’ordre imposent des formes de croissance sur les graphiques.

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The kurtosis is bounded below by the cowfficient skewness plus 1: In Moors gave an interpretation of kurtosis. On voit en outre sur la carte Fig.

The standard measure of kurtosis, originating with Karl Pearsonis based on a scaled version of the fourth moment of the data or population.

Kurtosis – Wikipedia

Correlation Regression analysis Correlation Pearson product-moment Partial correlation Confounding variable Coefficient of determination.

Spectral density estimation Fourier analysis Wavelet Whittle likelihood. Moment mathematics Statistical deviation and dispersion. An example of a platykurtic distribution is the uniform distributionwhich does not produce aplatisdement. Applying band-pass filters to digital imageskurtosis values tend to be uniform, independent of the range of the filter. Profile of the Health Systems in Chile: The cokurtosis between pairs of variables is an order four tensor.


Une distribution normale a un biais de 0 et un kurtosis de 0. A distribution with negative excess kurtosis is called platykurticor platykurtotic.

1. Introduction.

The kurtosis is the fourth standardized momentdefined as. There is no upper limit to the excess kurtosis of a general probability distribution, and it may be infinite.

Policy-makers and planners, in the next few decades, will be hard put to make agonizing choices with respect to the allocation of meager resources between the care of the old and chronically ill on the one hand, and the young and acutely ill on the other; and between the rural poor and the expanding urban middle class.

You can help by adding to it. Z -test normal Student’s t -test F -test. Mais les apparences sont trompeuses: Simple linear regression Ordinary least squares General linear model Bayesian regression.

Si ce n’est pas le cas, dans quelle mesure leur mise en place est-elle envisageable? Fundamental Statistics for Social Research.

Il n’y a pas de registre ni de connaissance certaine de ses agents. It is true, however, that the joint cumulants of degree greater than two for any multivariate normal distribution are zero.

On peut cependant en retirer quelques informations utiles Fig. As Westfall [4] notes, ” Remarquer les groupes suivants: Several letters are used in the literature to denote the kurtosis.


An example of a leptokurtic distribution is the Laplace distributionwhich has tails that asymptotically approach zero more slowly than a Gaussian, and therefore produces more outliers than the normal distribution.

Population de 65 ans et plus et consultations en urgence par habitant et par an. Then the only free parameter coefficiient mwhich controls the fourth moment and cumulant and hence the kurtosis. The kurtosis can now be seen to be a measure of the dispersion of Z 2 around its expectation. La tendance est claire ici: The red curve decreases the slowest as one moves outward from the origin “has fat tails”. Fresia, Los Muermos, Futaleufu et Palena.

On calcule ensuite le biais de la distribution skewness:. Note that in these cases the platykurtic densities have bounded supportwhereas the densities with positive or zero excess kurtosis are supported on the whole real coefficiennt.