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S can be viewed as a bivariate probability density function.
The bivariate probability density function for Rayleigh distributed variables is needed.
A bivariate probability model (BPM) is presented in this paper for wind power density and wind turbine energy output estimations.
The bivariate probability functions yield to risk functions and total resultant risk functions can be used to determine the operational parameters.
These results are shown to be robust using a bivariate probability model in a dynamic setting where the savings and remittances are considered as binary choices.
FR model was used to handle different independent variables via weighted-based bivariate probability values to generate a plausible flood susceptibility map.
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The general term of the series therefore can be regarded as defining a bivariate discrete probability distribution with probability function p r, ℓ = ρ k + m a + ρ k + m a r + ℓ k r m ℓ a + k + m + ρ r + ℓ 1 r ! 1 ℓ !, a, k, m, ρ > 0, r, ℓ = 0, 1, 2, ….
Bivariate drought probability across mainland China is relatively high, and the highest drought probabilities are found mainly in the Northwestern and Southwestern China.
For omnidirectional detection, this paper proposes a multiple Kinect network using a bivariate Gaussian probability density function (PDF).
First, a general expression for the bivariate joint probability distribution for discrete level sampling is introduced in the form of a series expansion in orthonormal functions.
Using an infinite series representation for the bivariate Ricean probability density function (PDF), the PDF of the SSC output signal-to-noise ratio (SNR) is derived.
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