Class SaddlePointExpansion
- java.lang.Object
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- org.apache.commons.math3.distribution.SaddlePointExpansion
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final class SaddlePointExpansion extends java.lang.ObjectUtility class used by various distributions to accurately compute their respective probability mass functions. The implementation for this class is based on the Catherine Loader's dbinom routines.
This class is not intended to be called directly.
References:
- Catherine Loader (2000). "Fast and Accurate Computation of Binomial Probabilities.". http://www.herine.net/stat/papers/dbinom.pdf
- Since:
- 2.1
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Field Summary
Fields Modifier and Type Field Description private static double[]EXACT_STIRLING_ERRORSexact Stirling expansion error for certain values.private static doubleHALF_LOG_2_PI1/2 * log(2 π).
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Constructor Summary
Constructors Modifier Constructor Description privateSaddlePointExpansion()Default constructor.
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Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description (package private) static doublegetDeviancePart(double x, double mu)A part of the deviance portion of the saddle point approximation.(package private) static doublegetStirlingError(double z)Compute the error of Stirling's series at the given value.(package private) static doublelogBinomialProbability(int x, int n, double p, double q)Compute the logarithm of the PMF for a binomial distribution using the saddle point expansion.
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Method Detail
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getStirlingError
static double getStirlingError(double z)
Compute the error of Stirling's series at the given value.References:
- Eric W. Weisstein. "Stirling's Series." From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/StirlingsSeries.html
- Parameters:
z- the value.- Returns:
- the Striling's series error.
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getDeviancePart
static double getDeviancePart(double x, double mu)A part of the deviance portion of the saddle point approximation.References:
- Catherine Loader (2000). "Fast and Accurate Computation of Binomial Probabilities.". http://www.herine.net/stat/papers/dbinom.pdf
- Parameters:
x- the x value.mu- the average.- Returns:
- a part of the deviance.
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logBinomialProbability
static double logBinomialProbability(int x, int n, double p, double q)Compute the logarithm of the PMF for a binomial distribution using the saddle point expansion.- Parameters:
x- the value at which the probability is evaluated.n- the number of trials.p- the probability of success.q- the probability of failure (1 - p).- Returns:
- log(p(x)).
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