Imported Upstream version 1.72.0

[platform/upstream/boost.git] / libs / math / doc / distributions / gamma.qbk

diff --git a/libs/math/doc/distributions/gamma.qbk b/libs/math/doc/distributions/gamma.qbk
index 9d5faab..eefcc84 100644 (file)
--- a/libs/math/doc/distributions/gamma.qbk
+++ b/libs/math/doc/distributions/gamma.qbk
@@ -41,13 +41,13 @@ Instead if you want a double precision gamma distribution you can write
 ``boost::math::gamma_distribution<> my_gamma(1, 1);``
 ]
 
-For shape parameter /k/ and scale parameter [theta][space] it is defined by the
+For shape parameter /k/ and scale parameter [theta] it is defined by the
 probability density function:
 
 [equation gamma_dist_ref1]
 
 Sometimes an alternative formulation is used: given parameters
-[alpha][space]= k and [beta][space]= 1 / [theta], then the 
+[alpha] = k and [beta] = 1 / [theta], then the 
 distribution can be defined by the PDF:
 
 [equation gamma_dist_ref2]
@@ -109,7 +109,7 @@ data for those functions for more information.
 [h4 Implementation]
 
 In the following table /k/ is the shape parameter of the distribution, 
-[theta][space] is its scale parameter, /x/ is the random variate, /p/ is the probability
+[theta] is its scale parameter, /x/ is the random variate, /p/ is the probability
 and /q = 1-p/.
 
 [table
@@ -117,17 +117,17 @@ and /q = 1-p/.
 [[pdf][Using the relation: pdf = __gamma_p_derivative(k, x / [theta]) / [theta] ]]
 [[cdf][Using the relation: p = __gamma_p(k, x / [theta]) ]]
 [[cdf complement][Using the relation: q = __gamma_q(k, x / [theta]) ]]
-[[quantile][Using the relation: x = [theta][space]* __gamma_p_inv(k, p) ]]
-[[quantile from the complement][Using the relation: x = [theta][space]* __gamma_q_inv(k, p) ]]
+[[quantile][Using the relation: x = [theta] * __gamma_p_inv(k, p) ]]
+[[quantile from the complement][Using the relation: x = [theta]* __gamma_q_inv(k, p) ]]
 [[mean][k[theta] ]]
 [[variance][k[theta][super 2] ]]
-[[mode][(k-1)[theta][space] for ['k>1] otherwise a __domain_error ]]
+[[mode][(k-1)[theta] for ['k>1] otherwise a __domain_error ]]
 [[skewness][2 / sqrt(k) ]]
 [[kurtosis][3 + 6 / k]]
 [[kurtosis excess][6 / k ]]
 ]
 
-[endsect][/section:gamma_dist Gamma (and Erlang) Distribution]
+[endsect] [/section:gamma_dist Gamma (and Erlang) Distribution]
 
 
 [/