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