Mercurial > forge
changeset 2775:0c3a065aa01b octave-forge
Documentation update.
| author | whyly |
|---|---|
| date | Wed, 29 Nov 2006 22:53:32 +0000 |
| parents | 565688af8f70 |
| children | 56be401b6fdb |
| files | main/statistics/inst/betastat.m main/statistics/inst/binostat.m main/statistics/inst/chi2stat.m main/statistics/inst/expstat.m main/statistics/inst/fstat.m main/statistics/inst/gamstat.m main/statistics/inst/geostat.m main/statistics/inst/hygestat.m main/statistics/inst/lognstat.m main/statistics/inst/normstat.m main/statistics/inst/pascal_stat.m main/statistics/inst/poisstat.m main/statistics/inst/raylstat.m main/statistics/inst/tstat.m main/statistics/inst/unidstat.m main/statistics/inst/unifstat.m main/statistics/inst/weibstat.m |
| diffstat | 17 files changed, 358 insertions(+), 214 deletions(-) [+] |
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--- a/main/statistics/inst/betastat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/betastat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,49 +18,59 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} betastat (@var{a}, @var{b}) ## Returns mean and variance of the beta distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{a} is the first parameter of the beta distribution. @var{a} must be ## positive +## ## @item ## @var{b} is the second parameter of the beta distribution. @var{b} must be ## positive ## @end itemize ## @var{a} and @var{b} must be of common size or one of them must be scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the beta distribution +## ## @item ## @var{v} is the variance of the beta distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## a = 1:6; ## b = 1:0.2:2; ## [m, v] = betastat (a, b) +## @end group ## +## @group ## [m, v] = betastat (a, 1.5) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Beta_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the beta distribution function [m, v] = betastat (a, b)
--- a/main/statistics/inst/binostat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/binostat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,49 +18,59 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} binostat (@var{n}, @var{p}) ## Returns mean and variance of the binomial distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{n} is the first parameter of the binomial distribution. The elements ## of @var{n} must be natural numbers +## ## @item ## @var{p} is the second parameter of the binomial distribution. The ## elements of @var{p} must be probabilities ## @end itemize ## @var{n} and @var{p} must be of common size or one of them must be scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the binomial distribution +## ## @item ## @var{v} is the variance of the binomial distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## n = 1:6; ## p = 0:0.2:1; ## [m, v] = binostat (n, p) +## @end group ## +## @group ## [m, v] = binostat (n, 0.5) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Binomial_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the binomial distribution function [m, v] = binostat (n, p)
--- a/main/statistics/inst/chi2stat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/chi2stat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,42 +18,49 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} chi2stat (@var{n}) ## Returns mean and variance of the chi-square distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{n} is the parameter of the chi-square distribution. The elements ## of @var{n} must be positive ## @end itemize ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the chi-square distribution +## ## @item ## @var{v} is the variance of the chi-square distribution ## @end itemize ## -## Example: +## @subheading Example ## ## @example +## @group ## n = 1:6; ## [m, v] = chi2stat (n) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Chi-square} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the chi-square distribution function [m, v] = chi2stat (n)
--- a/main/statistics/inst/expstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/expstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,42 +18,49 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} expstat (@var{l}) ## Returns mean and variance of the exponential distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{l} is the rate parameter of the exponential distribution. The ## elements of @var{l} must be positive ## @end itemize ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the exponential distribution +## ## @item ## @var{v} is the variance of the exponential distribution ## @end itemize ## -## Example: +## @subheading Example ## ## @example +## @group ## l = 1 ./ (1:6); ## [m, v] = expstat (l) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Exponential_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the exponential distribution function [m, v] = expstat (l)
--- a/main/statistics/inst/fstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/fstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,51 +18,61 @@ ## @deftypefn {Function File} {[@var{mn}, @var{v}] =} fstat (@var{m}, @var{n}) ## Returns mean and variance of the F distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the first parameter of the F distribution. The elements ## of @var{m} must be positive +## ## @item ## @var{n} is the second parameter of the F distribution. The ## elements of @var{n} must be positive ## @end itemize ## @var{m} and @var{n} must be of common size or one of them must be scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{mn} is the mean of the F distribution. The mean is undefined for ## @var{n} not greater than 2 +## ## @item ## @var{v} is the variance of the F distribution. The variance is undefined ## for @var{n} not greater than 4 ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## m = 1:6; ## n = 5:10; ## [mn, v] = fstat (m, n) +## @end group ## +## @group ## [mn, v] = fstat (m, 5) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/F_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the F distribution function [mn, v] = fstat (m, n)
--- a/main/statistics/inst/gamstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/gamstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,49 +18,59 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} gamstat (@var{a}, @var{b}) ## Returns mean and variance of the gamma distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{a} is the first parameter of the gamma distribution. @var{a} must be ## positive +## ## @item ## @var{b} is the second parameter of the gamma distribution. @var{b} must be ## positive ## @end itemize ## @var{a} and @var{b} must be of common size or one of them must be scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the gamma distribution +## ## @item ## @var{v} is the variance of the gamma distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## a = 1:6; ## b = 1:0.2:2; ## [m, v] = gamstat (a, b) +## @end group ## +## @group ## [m, v] = gamstat (a, 1.5) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Gamma_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the gamma distribution function [m, v] = gamstat (a, b)
--- a/main/statistics/inst/geostat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/geostat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,42 +18,49 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} geostat (@var{p}) ## Returns mean and variance of the geometric distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{p} is the rate parameter of the geometric distribution. The ## elements of @var{p} must be probabilities ## @end itemize ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the geometric distribution +## ## @item ## @var{v} is the variance of the geometric distribution ## @end itemize ## -## Example: +## @subheading Example ## ## @example +## @group ## p = 1 ./ (1:6); ## [m, v] = geostat (p) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Geometric_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the geometric distribution function [m, v] = geostat (p)
--- a/main/statistics/inst/hygestat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/hygestat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,53 +18,64 @@ ## @deftypefn {Function File} {[@var{mn}, @var{v}] =} hygestat (@var{m}, @var{t}, @var{n}) ## Returns mean and variance of the hypergeometric distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the number of marked items of the hypergeometric distribution. ## The elements of @var{n} must be natural numbers +## ## @item ## @var{t} is the total size of the population of the hypergeometric ## distribution. The elements of @var{p} must be positive natural numbers +## ## @item ## @var{n} is the size of the drawn sample of the hypergeometric ## distribution. The elements of @var{p} must be positive natural numbers ## @end itemize ## @var{m}, @var{t} and @var{n} must be of common size or scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{mn} is the mean of the hypergeometric distribution +## ## @item ## @var{v} is the variance of the hypergeometric distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## m = 0:5; ## t = 4:9; ## n = 1:6; ## [mn, v] = hygestat (m, t, n) +## @end group ## +## @group ## [mn, v] = hygestat (m, t, 2) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Hypergeometric_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the hypergeometric distribution function [mn, v] = hygestat (m, t, n)
--- a/main/statistics/inst/lognstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/lognstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,11 +18,12 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} lognstat (@var{mu}, @var{sigma}) ## Returns mean and variance of the lognormal distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{mu} is the first parameter of the lognormal distribution +## ## @item ## @var{sigma} is the second parameter of the lognormal distribution. ## @var{sigma} must be positive or zero @@ -30,37 +31,46 @@ ## @var{mu} and @var{sigma} must be of common size or one of them must be ## scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the lognormal distribution +## ## @item ## @var{v} is the variance of the lognormal distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## mu = 0:0.2:1; ## sigma = 0.2:0.2:1.2; ## [m, v] = lognstat (mu, sigma) +## @end group ## +## @group ## [m, v] = lognstat (0, sigma) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Lognormal_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the lognormal distribution function [m, v] = lognstat (mu, sigma)
--- a/main/statistics/inst/normstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/normstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,11 +18,12 @@ ## @deftypefn {Function File} {[@var{mn}, @var{vr}] =} normstat (@var{m}, @var{v}) ## Returns mean and variance of the normal distribution, the given arguments ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the normal distribution +## ## @item ## @var{v} is the variance of the normal distribution. ## @var{v} must be positive @@ -30,37 +31,46 @@ ## @var{m} and @var{v} must be of common size or one of them must be ## scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{mn} is the mean of the normal distribution +## ## @item ## @var{vr} is the variance of the normal distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## m = 1:6; ## v = 0:0.2:1; ## [mn, vr] = normstat (m, v) +## @end group ## +## @group ## [mn, vr] = normstat (0, v) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Normal_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the normal distribution function [mn, vr] = normstat (m, v)
--- a/main/statistics/inst/pascal_stat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/pascal_stat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,49 +18,59 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} pascal_stat (@var{n}, @var{p}) ## Returns mean and variance of the negative binomial distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{n} is the first parameter of the negative binomial distribution. The elements ## of @var{n} must be natural numbers +## ## @item ## @var{p} is the second parameter of the negative binomial distribution. The ## elements of @var{p} must be probabilities ## @end itemize ## @var{n} and @var{p} must be of common size or one of them must be scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the negative binomial distribution +## ## @item ## @var{v} is the variance of the negative binomial distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## n = 1:4; ## p = 0.2:0.2:0.8; ## [m, v] = pascal_stat (n, p) +## @end group ## +## @group ## [m, v] = pascal_stat (n, 0.5) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Pascal_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the negative binomial distribution function [m, v] = pascal_stat (n, p)
--- a/main/statistics/inst/poisstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/poisstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -16,44 +16,51 @@ ## -*- texinfo -*- ## @deftypefn {Function File} {[@var{m}, @var{v}] =} poisstat (@var{lambda}) -## Returns mean and variance of the poisson distribution +## Returns mean and variance of the Poisson distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item -## @var{lambda} is the parameter of the poisson distribution. The +## @var{lambda} is the parameter of the Poisson distribution. The ## elements of @var{lambda} must be positive ## @end itemize ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item -## @var{m} is the mean of the poisson distribution +## @var{m} is the mean of the Poisson distribution +## ## @item -## @var{v} is the variance of the poisson distribution +## @var{v} is the variance of the Poisson distribution ## @end itemize ## -## Example: +## @subheading Example ## ## @example +## @group ## lambda = 1 ./ (1:6); ## [m, v] = poisstat (lambda) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Poisson_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the Poisson distribution function [m, v] = poisstat (lambda)
--- a/main/statistics/inst/raylstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/raylstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,17 +18,17 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} raylstat (@var{sigma}) ## Returns mean and variance of the Rayleigh distribution. ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{sigma} is the parameter of the Rayleigh distribution. The elements ## of @var{sigma} must be positive. ## @end itemize ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the Rayleigh distribution. ## @@ -36,29 +36,30 @@ ## @var{v} is the variance of the Rayleigh distribution. ## @end itemize ## -## Example: +## @subheading Example ## ## @example +## @group ## sigma = 1:6; ## [m, v] = raylstat (sigma) +## @end group ## @end example ## -## References: +## @subheading References ## ## @enumerate ## @item -## W. L. Martinez and A. R. Martinez. @cite{Computational Statistics -## Handbook with MATLAB.} Chapman & Hall/CRC, pages 547-557, 2001. +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. ## ## @item -## Wikipedia contributors. Rayleigh distribution. @cite{Wikipedia, The Free -## Encyclopedia.} -## @uref{http://en.wikipedia.org/w/index.php?title=Rayleigh_distribution&oldid=69294908}, -## August 2006. +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. ## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> ## Description: Moments of the Rayleigh distribution function [m, v] = raylstat (sigma)
--- a/main/statistics/inst/tstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/tstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,42 +18,49 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} tstat (@var{n}) ## Returns mean and variance of the t (Student) distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{n} is the parameter of the t (Student) distribution. The elements ## of @var{n} must be positive ## @end itemize ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the t (Student) distribution +## ## @item ## @var{v} is the variance of the t (Student) distribution ## @end itemize ## -## Example: +## @subheading Example ## ## @example +## @group ## n = 3:8; ## [m, v] = tstat (n) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/T_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the t (Student) distribution function [m, v] = tstat (n)
--- a/main/statistics/inst/unidstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/unidstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,42 +18,49 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} unidstat (@var{n}) ## Returns mean and variance of the discrete uniform distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{n} is the parameter of the discrete uniform distribution. The elements ## of @var{n} must be positive natural numbers ## @end itemize ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the discrete uniform distribution +## ## @item ## @var{v} is the variance of the discrete uniform distribution ## @end itemize ## -## Example: +## @subheading Example ## ## @example +## @group ## n = 1:6; ## [m, v] = unidstat (n) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Uniform_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the discrete uniform distribution function [m, v] = unidstat (n)
--- a/main/statistics/inst/unifstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/unifstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -18,48 +18,58 @@ ## @deftypefn {Function File} {[@var{m}, @var{v}] =} unifstat (@var{a}, @var{b}) ## Returns mean and variance of the continuous uniform distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item ## @var{a} is the first parameter of the continuous uniform distribution +## ## @item ## @var{b} is the second parameter of the continuous uniform distribution ## @end itemize ## @var{a} and @var{b} must be of common size or one of them must be scalar ## and @var{a} must be less than @var{b} ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item ## @var{m} is the mean of the continuous uniform distribution +## ## @item ## @var{v} is the variance of the continuous uniform distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## a = 1:6; ## b = 2:2:12; ## [m, v] = unifstat (a, b) +## @end group ## +## @group ## [m, v] = unifstat (a, 10) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Uniform_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the continuous uniform distribution function [m, v] = unifstat (a, b)
--- a/main/statistics/inst/weibstat.m Wed Nov 29 21:42:42 2006 +0000 +++ b/main/statistics/inst/weibstat.m Wed Nov 29 22:53:32 2006 +0000 @@ -16,52 +16,62 @@ ## -*- texinfo -*- ## @deftypefn {Function File} {[@var{m}, @var{v}] =} weibstat (@var{alpha}, @var{sigma}) -## Returns mean and variance of the weibull distribution +## Returns mean and variance of the Weibull distribution ## -## Arguments are +## @subheading Arguments ## -## @itemize +## @itemize @bullet ## @item -## @var{alpha} is the shape parameter of the weibull distribution. +## @var{alpha} is the shape parameter of the Weibull distribution. ## @var{alpha} must be positive +## ## @item -## @var{sigma} is the scale parameter of the weibull distribution. +## @var{sigma} is the scale parameter of the Weibull distribution. ## @var{sigma} must be positive ## @end itemize ## @var{alpha} and @var{sigma} must be of common size or one of them must be ## scalar ## -## Return values are +## @subheading Return values ## -## @itemize +## @itemize @bullet ## @item -## @var{m} is the mean of the weibull distribution +## @var{m} is the mean of the Weibull distribution +## ## @item -## @var{v} is the variance of the weibull distribution +## @var{v} is the variance of the Weibull distribution ## @end itemize ## -## Examples: +## @subheading Examples ## ## @example +## @group ## alpha = 1:6; ## sigma = 3:8; ## [m, v] = weibstat (alpha, sigma) +## @end group ## +## @group ## [m, v] = weibstat (alpha, 6) +## @end group ## @end example ## -## References: +## @subheading References ## -## @itemize +## @enumerate ## @item -## @cite{Matlab 7.0 documentation (pdf)} +## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics +## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, +## 2001. +## ## @item -## @uref{http://en.wikipedia.org/wiki/Weibull_distribution} -## @end itemize -## +## Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic +## Processes}. McGraw-Hill, New York, second edition, 1984. +## @end enumerate ## @end deftypefn -## Author: Arno Onken <whyly@gmx.net> +## Author: Arno Onken <whyly@whyly.org> +## Description: Moments of the Weibull distribution function [m, v] = weibstat (alpha, sigma)