|
Boost-Commit : |
Subject: [Boost-commit] svn:boost r67219 - trunk/libs/math/doc/sf_and_dist/distributions
From: pbristow_at_[hidden]
Date: 2010-12-13 11:44:47
Author: pbristow
Date: 2010-12-13 11:44:42 EST (Mon, 13 Dec 2010)
New Revision: 67219
URL: http://svn.boost.org/trac/boost/changeset/67219
Log:
Removed wrong info on Wald distribution. Using snippets would have prevented this!
Text files modified:
trunk/libs/math/doc/sf_and_dist/distributions/inverse_gaussian.qbk | 10 +++++-----
1 files changed, 5 insertions(+), 5 deletions(-)
Modified: trunk/libs/math/doc/sf_and_dist/distributions/inverse_gaussian.qbk
==============================================================================
--- trunk/libs/math/doc/sf_and_dist/distributions/inverse_gaussian.qbk (original)
+++ trunk/libs/math/doc/sf_and_dist/distributions/inverse_gaussian.qbk 2010-12-13 11:44:42 EST (Mon, 13 Dec 2010)
@@ -6,17 +6,17 @@
template <class RealType = double,
class ``__Policy`` = ``__policy_class`` >
- class wald_distribution
+ class inverse_gaussian_distribution
{
public:
typedef RealType value_type;
typedef Policy policy_type;
- wald_distribution(RealType mean = 1, RealType scale = 1);
+ inverse_gaussian_distribution(RealType mean = 1, RealType scale = 1);
RealType mean()const; // mean default 1.
RealType scale()const; // Optional scale, default 1 (unscaled).
- RealType scale()const; // Shape = scale/mean.
+ RealType shape()const; // Shape = scale/mean.
};
typedef inverse_gaussian_distribution<double> inverse_gaussian;
@@ -139,7 +139,7 @@
[[quantile][No closed form known. Estimated using a guess refined by Newton-Raphson iteration.]]
[[quantile from the complement][No closed form known. Estimated using a guess refined by Newton-Raphson iteration.]]
[[mode][[mu] {[sqrt](1+9[mu][sup2]/4[lambda][sup2])[sup2] - 3[mu]/2[lambda]} ]]
-[[median][no closed form analytic equation is known, but is evaluated as quantile(0.5)]]
+[[median][No closed form analytic equation is known, but is evaluated as quantile(0.5)]]
[[mean][[mu]] ]
[[variance][[mu][cubed]/[lambda]] ]
[[skewness][3 [sqrt] ([mu]/[lambda])] ]
@@ -150,7 +150,7 @@
[h4 References]
#Wald, A. (1947). Sequential analysis. Wiley, NY.
-#The Tnverse Gaussian distribution : theory, methodology, and applications, Raj S. Chhikara, J. Leroy Folks. ISBN 0824779975 (1989).
+#The Inverse Gaussian distribution : theory, methodology, and applications, Raj S. Chhikara, J. Leroy Folks. ISBN 0824779975 (1989).
#The Inverse Gaussian distribution : statistical theory and applications, Seshadri, V , ISBN - 0387986189 (pbk) (Dewey 519.2) (1998).
#[@http://docs.scipy.org/doc/numpy/reference/generated/numpy.random.wald.html Numpy and Scipy Documentation].
#[@http://bm2.genes.nig.ac.jp/RGM2/R_current/library/statmod/man/invgauss.html R statmod invgauss functions].
Boost-Commit list run by bdawes at acm.org, david.abrahams at rcn.com, gregod at cs.rpi.edu, cpdaniel at pacbell.net, john at johnmaddock.co.uk