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1 [section:dist_algorithms Distribution Algorithms]
2
3 [h4 Finding the Location and Scale for Normal and similar distributions]
4
5 Two functions aid finding location and scale of random variable z
6 to give probability p (given a scale or location).
7 Only applies to distributions like normal, lognormal, extreme value, Cauchy, (and symmetrical triangular),
8 that have scale and location properties.
9
10 These functions are useful to predict the mean and/or standard deviation that will be needed to meet a specified minimum weight or maximum dose.
11
12 Complement versions are also provided, both with explicit and implicit (default) policy.
13
14 using boost::math::policies::policy; // May be needed by users defining their own policies.
15 using boost::math::complement; // Will be needed by users who want to use complements.
16
17 [h4 find_location function]
18
19 ``#include <boost/math/distributions/find_location.hpp>``
20
21 namespace boost{ namespace math{
22
23 template <class Dist, class ``__Policy``> // explicit error handling policy
24 typename Dist::value_type find_location( // For example, normal mean.
25 typename Dist::value_type z, // location of random variable z to give probability, P(X > z) == p.
26 // For example, a nominal minimum acceptable z, so that p * 100 % are > z
27 typename Dist::value_type p, // probability value desired at x, say 0.95 for 95% > z.
28 typename Dist::value_type scale, // scale parameter, for example, normal standard deviation.
29 const ``__Policy``& pol);
30
31 template <class Dist> // with default policy.
32 typename Dist::value_type find_location( // For example, normal mean.
33 typename Dist::value_type z, // location of random variable z to give probability, P(X > z) == p.
34 // For example, a nominal minimum acceptable z, so that p * 100 % are > z
35 typename Dist::value_type p, // probability value desired at x, say 0.95 for 95% > z.
36 typename Dist::value_type scale); // scale parameter, for example, normal standard deviation.
37
38 }} // namespaces
39
40 [h4 find_scale function]
41
42 ``#include <boost/math/distributions/find_scale.hpp>``
43
44 namespace boost{ namespace math{
45
46 template <class Dist, class ``__Policy``>
47 typename Dist::value_type find_scale( // For example, normal mean.
48 typename Dist::value_type z, // location of random variable z to give probability, P(X > z) == p.
49 // For example, a nominal minimum acceptable weight z, so that p * 100 % are > z
50 typename Dist::value_type p, // probability value desired at x, say 0.95 for 95% > z.
51 typename Dist::value_type location, // location parameter, for example, normal distribution mean.
52 const ``__Policy``& pol);
53
54 template <class Dist> // with default policy.
55 typename Dist::value_type find_scale( // For example, normal mean.
56 typename Dist::value_type z, // location of random variable z to give probability, P(X > z) == p.
57 // For example, a nominal minimum acceptable z, so that p * 100 % are > z
58 typename Dist::value_type p, // probability value desired at x, say 0.95 for 95% > z.
59 typename Dist::value_type location) // location parameter, for example, normal distribution mean.
60 }} // namespaces
61
62 All argument must be finite, otherwise __domain_error is called.
63
64 Probability arguments must be [0, 1], otherwise __domain_error is called.
65
66 If the choice of arguments would give a negative scale, __domain_error is called, unless the policy is to ignore, when the negative (impossible) value of scale is returned.
67
68 [link math_toolkit.stat_tut.weg.find_eg Find Mean and standard deviation examples]
69 gives simple examples of use of both find_scale and find_location, and a longer example finding means and standard deviations of normally distributed weights to meet a specification.
70
71 [endsect] [/section:dist_algorithms dist_algorithms]
72
73 [/ dist_algorithms.qbk
74 Copyright 2007 John Maddock and Paul A. Bristow.
75 Distributed under the Boost Software License, Version 1.0.
76 (See accompanying file LICENSE_1_0.txt or copy at
77 http://www.boost.org/LICENSE_1_0.txt).
78 ]