41. Take a draw from the probability density function that you specified for the'taste'coefficients. 42. The cumulative distribution function is the antiderivative of the probability density function provided that the latter function exists. 43. Where \ ln \ mathcal { N } ( x ) is the probability density function of X. 44. This is also a spectral energy density function with units of energy per unit wavelength per unit volume. 45. The product of two Gaussian probability density functions , though, is not in general a Gaussian PDF. 46. In other words, the product of their independent density functions does not adequately describe the real situation. 47. Its probability density function ( see the box ) is given in terms of wind-blown sand. 48. But you can use the probability mass function and cumulative density functions to make it a bit easier. 49. We now present the Preisach density function , denoted \ mu ( \ alpha, \ beta ). 50. For most geometric stable distributions, the probability density function and cumulative distribution function have no closed form. 