Author: luc Date: Mon Mar 5 13:35:31 2007 New Revision: 514875 URL: http://svn.apache.org/viewvc?view=rev&rev=514875 Log: added an entry for Pascal distribution fixed typos fixed a code example
Modified: jakarta/commons/proper/math/trunk/xdocs/userguide/distribution.xml Modified: jakarta/commons/proper/math/trunk/xdocs/userguide/distribution.xml URL: http://svn.apache.org/viewvc/jakarta/commons/proper/math/trunk/xdocs/userguide/distribution.xml?view=diff&rev=514875&r1=514874&r2=514875 ============================================================================== --- jakarta/commons/proper/math/trunk/xdocs/userguide/distribution.xml (original) +++ jakarta/commons/proper/math/trunk/xdocs/userguide/distribution.xml Mon Mar 5 13:35:31 2007 @@ -60,11 +60,12 @@ <tr><td>Exponential</td><td>createExponentialDistribution</td><td><div>Mean</div></td></tr> <tr><td>F</td><td>createFDistribution</td><td><div>Numerator degrees of freedom</div><div>Denominator degrees of freedom</div></td></tr> <tr><td>Gamma</td><td>createGammaDistribution</td><td><div>Alpha</div><div>Beta</div></td></tr> - <tr><td>Hypergeometric</td><td>createHypogeometricDistribution</td><td><div>Population size</div><div>Number of successes in population</div><div>Sample size</div></td></tr> + <tr><td>Hypergeometric</td><td>createHypergeometricDistribution</td><td><div>Population size</div><div>Number of successes in population</div><div>Sample size</div></td></tr> <tr><td>Normal (Gaussian)</td><td>createNormalDistribution</td><td><div>Mean</div><div>Standard Deviation</div></td></tr> <tr><td>Poisson</td><td>createPoissonDistribution</td><td><div>Mean</div></td></tr> <tr><td>t</td><td>createTDistribution</td><td><div>Degrees of freedom</div></td></tr> <tr><td>Weibull</td><td>createWeibullDistribution</td><td><div>Shape</div><div>Scale</div><div>Location</div></td></tr> + <tr><td>Pascal</td><td>createPascalDistribution</td><td><div>numberOfSuccesses</div><div>probabilityOfSuccess</div></td></tr> </table> </p> <p> @@ -74,13 +75,13 @@ <code>P(X <= x)</code> (i.e. the lower tail probability of <code>X</code>). </p> <source>DistributionFactory factory = DistributionFactory.newInstance(); -TDistribution t = factory.createBinomialDistribution(29); +TDistribution t = factory.createTDistribution(29); double lowerTail = t.cumulativeProbability(-2.656); // P(T <= -2.656) double upperTail = 1.0 - t.cumulativeProbability(2.75); // P(T >= 2.75)</source> <p> The inverse PDF and CDF values are just as easily computed using the - <code>inverseCumulativeProbability</code>methods. For a distribution <code>X</code>, - and a probability, <code>p</code>, <code>inverseCumulativeProbability</code> + <code>inverseCumulativeProbability</code> methods. For a distribution <code>X</code>, + and a probability, <code>p</code>, <code>inverseCumulativeProbability</code> computes the domain value <code>x</code>, such that: <ul> <li><code>P(X <= x) = p</code>, for continuous distributions</li> --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]