Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, the generalized inverse Gaussian distribution (GIG) is a three-parameter family of continuous probability distributions with probability density function f(x) = frac{(a/b)^{p/2}}{2 K_p(sqrt{ab})} x^{(p-1)} e^{- (ax + b/x)/2},qquad x>0,
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, the generalized inverse Gaussian distribution (GIG) is a three-parameter family of continuous probability distributions with probability density function f(x) = frac{(a/b)^{p/2}}{2 K_p(sqrt{ab})} x^{(p-1)} e^{- (ax + b/x)/2},qquad x>0,
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -High Quality Content by WIKIPEDIA articles! In probability theory andstatistics, the generalized inverse Gaussian distribution (GIG) is athree-parameter family of continuous probability distributions withprobability density function f(x) = frac{(a/b)^{p/2}}{2 K_p(sqrt{ab})}x^{(p-1)} e^{- (ax + b/x)/2},qquad x>0VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Nº de ref. del artículo: 9786133761971
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