Andere Kunden interessierten sich auch für
![Inverse functions and differentiation]( "Inverse functions and differentiation")
Inverse functions and differentiation22,99 €![Support (Measure Theory)]( "Support (Measure Theory)")
Support (Measure Theory)19,99 €![Stable Non-Gaussian Self-Similar Processes with Stationary Increments]( "Stable Non-Gaussian Self-Similar Processes with Stationary Increments")
Stable Non-Gaussian Self-Similar Processes with Stationary Increments37,99 €![Inverse Rayleigh Distribution-Reliability and Quality Control Methods]( "Inverse Rayleigh Distribution-Reliability and Quality Control Methods")
Inverse Rayleigh Distribution-Reliability and Quality Control Methods42,99 €![On the finiteness conditions of the set of intermediate rings]( "On the finiteness conditions of the set of intermediate rings")
On the finiteness conditions of the set of intermediate rings32,99 €![Elliptic Paraboloids and Gaussian Integers]( "Elliptic Paraboloids and Gaussian Integers")
Elliptic Paraboloids and Gaussian Integers16,99 €![Stochastic Analysis of Mixed Fractional Gaussian Processes]( "Stochastic Analysis of Mixed Fractional Gaussian Processes")
Stochastic Analysis of Mixed Fractional Gaussian Processes83,99 €
As tends to infinity, the inverse Gaussian distribution becomes more like a normal (Gaussian) distribution. The inverse Gaussian distribution has several properties analogous to a Gaussian distribution. The name can be misleading. It is an "inverse" only in that, while the Gaussian describes the distribution of distance at fixed time in Brownian motion, the inverse Gaussian describes the distribution of the time a Brownian Motion with positive drift takes to reach a fixed positive level.