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com.github.hullbend : finwhale

Maven & Gradle

Feb 08, 2021
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com.github.hullbend:finwhale · Statistical distributions library (in statu nascendi)

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Download com.github.hullbend : finwhale JAR file - Latest Versions:

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Download com.github.hullbend : finwhale JAR file - All Versions:

Version Vulnerabilities Size Updated
0.9.x

View Java Class Source Code in JAR file

  1. Download JD-GUI to open JAR file and explore Java source code file (.class .java)
  2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window finwhale-0.9.5.jar file.
    Once you open a JAR file, all the java classes in the JAR file will be displayed.

math.optim

├─ math.optim.CGOptimizer.class - [JAR]

math.stats.distribution.fit

├─ math.stats.distribution.fit.AndersonDarling.class - [JAR]

├─ math.stats.distribution.fit.FastKolmogorovSmirnov.class - [JAR]

├─ math.stats.distribution.fit.GoodnessOfFit.class - [JAR]

├─ math.stats.distribution.fit.KolmogorovSmirnovP.class - [JAR]

├─ math.stats.distribution.fit.Transformer.class - [JAR]

├─ math.stats.distribution.fit.UniformTestStatistics.class - [JAR]

math.stats.distribution

├─ math.stats.distribution.AbstractContinuousDistribution.class - [JAR]

├─ math.stats.distribution.Beta.class - [JAR]

├─ math.stats.distribution.Cauchy.class - [JAR]

├─ math.stats.distribution.ChiSquare.class - [JAR]

├─ math.stats.distribution.ContinuousDistribution.class - [JAR]

├─ math.stats.distribution.Exponential.class - [JAR]

├─ math.stats.distribution.FisherF.class - [JAR]

├─ math.stats.distribution.Gamma.class - [JAR]

├─ math.stats.distribution.LogNormal.class - [JAR]

├─ math.stats.distribution.Normal.class - [JAR]

├─ math.stats.distribution.StudentT.class - [JAR]

├─ math.stats.distribution.Uniform.class - [JAR]

├─ math.stats.distribution.Weibull.class - [JAR]

math.stats

├─ math.stats.ProbabilityFuncs.class - [JAR]

├─ math.stats.ValidatedValue.class - [JAR]

math.function

├─ math.function.DiffMultivariateFunction.class - [JAR]

├─ math.function.DoubleConsumer.class - [JAR]

├─ math.function.DoubleUnaryOperator.class - [JAR]

├─ math.function.Gradient.class - [JAR]

├─ math.function.MultivariateFunction.class - [JAR]

├─ math.function.MultivariateFunctionResult.class - [JAR]

├─ math.function.NumericallyDiffMultivariateFunction.class - [JAR]

├─ math.function.UnivariateFunctionResult.class - [JAR]

math.stats.descriptive

├─ math.stats.descriptive.DoubleSummaryStatistics.class - [JAR]

math.minpack

├─ math.minpack.Lmder_fcn.class - [JAR]

├─ math.minpack.Lmdif_fcn.class - [JAR]

├─ math.minpack.Minpack_f77.class - [JAR]

math

├─ math.Arithmetic.class - [JAR]

├─ math.BetaException.class - [JAR]

├─ math.BetaFun.class - [JAR]

├─ math.CommonsAccurateMath.class - [JAR]

├─ math.CommonsCalc.class - [JAR]

├─ math.CommonsMathLiterals.class - [JAR]

├─ math.FastGamma.class - [JAR]

├─ math.FastMath.class - [JAR]

├─ math.GammaException.class - [JAR]

├─ math.GammaFun.class - [JAR]

├─ math.JafamaFastMath.class - [JAR]

├─ math.MathConsts.class - [JAR]

├─ math.Polynomial.class - [JAR]

├─ math.RootFinder.class - [JAR]

math.rng

├─ math.rng.AbstractRng64.class - [JAR]

├─ math.rng.DefaultRng.class - [JAR]

├─ math.rng.MarsagliaXOR64.class - [JAR]

├─ math.rng.MersenneTwister64.class - [JAR]

├─ math.rng.PseudoRandom.class - [JAR]

├─ math.rng.Seed.class - [JAR]

math.stats.distribution.mle

├─ math.stats.distribution.mle.MLE.class - [JAR]

├─ math.stats.distribution.mle.ParBeta.class - [JAR]

├─ math.stats.distribution.mle.ParChiSquare.class - [JAR]

├─ math.stats.distribution.mle.ParExponential.class - [JAR]

├─ math.stats.distribution.mle.ParGamma.class - [JAR]

├─ math.stats.distribution.mle.ParLogNormal.class - [JAR]

├─ math.stats.distribution.mle.ParNormal.class - [JAR]

├─ math.stats.distribution.mle.ParStudentT.class - [JAR]

├─ math.stats.distribution.mle.ParWeibull.class - [JAR]

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