Lines Matching refs:distribution

25 The Inverse Gaussian distribution distribution is a continuous probability distribution.
27 The distribution is also called 'normal-inverse Gaussian distribution',
28 and 'normal Inverse' distribution.
32 The Inverse Gaussian distribution was first studied in relation to Brownian motion.
38 (So ['inverse] in the name may mislead: it does [*not] relate to the inverse of a distribution).
40 The tails of the distribution decrease more slowly than the normal distribution.
42 where numerically large values are more probable than is the case for the normal distribution.
53 [@http://en.wikipedia.org/wiki/Normal-inverse_Gaussian_distribution distribution].
57 If you want a `double` precision inverse_gaussian distribution you can use 
68 the inverse_gaussian distribution is defined by the probability density function (PDF):
76 where [Phi] is the standard normal distribution CDF.
78 The following graphs illustrate how the PDF and CDF of the inverse_gaussian distribution
95 Constructs an inverse_gaussian distribution with [mu] mean,
103 Returns the mean [mu] parameter of this distribution.
107 Returns the scale [lambda] parameter of this distribution.
120 The inverse_gaussian distribution is implemented in terms of the 
121 exponential function and standard normal distribution ['N]0,1 [Phi] :
129 [lambda] is the scale parameter of the inverse_gaussian distribution,
153 #The Inverse Gaussian distribution : theory, methodology, and applications, Raj S. Chhikara, J. Ler…
154 #The Inverse Gaussian distribution : statistical theory and applications, Seshadri, V , ISBN - 0387…