Package com.leumanuel.woozydata.service

Class ProbabilityService

java.lang.Object

com.leumanuel.woozydata.service.ProbabilityService

public class ProbabilityService
extends Object

Service class for probability distributions and statistical calculations. Provides methods for generating various probability distributions and calculating probabilities.

Version:

1.0

Author:

Leu A. Manuel

Constructor Summary

Constructors

Constructor	Description
ProbabilityService()

Method Summary

Modifier and Type	Method	Description
int[]	generateBinomialDistribution(int trials, double probability, int size)	Generates samples from a binomial distribution.
double[]	generateNormalDistribution(int size, double mean, double stdDev)	Generates samples from a normal distribution.
double[]	generatePoissonDistribution(double lambda, int size)	Generates samples from a Poisson distribution.
double[]	generateUniformDistribution(int size, double min, double max)	Generates samples from a uniform distribution.
double	normalCDF(double x, double mean, double std)	Calculates the cumulative distribution function for normal distribution.
double	normalPDF(double x, double mean, double stdDev)	Calculates the probability density function for normal distribution.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

ProbabilityService

public ProbabilityService()

Method Details

generateNormalDistribution

public double[] generateNormalDistribution(int size,
 double mean,
 double stdDev)

Generates samples from a normal distribution.

Parameters:

size - Number of samples to generate

mean - Mean of the distribution

stdDev - Standard deviation of the distribution

Returns:

Array of samples from normal distribution

generateBinomialDistribution

public int[] generateBinomialDistribution(int trials,
 double probability,
 int size)

Generates samples from a binomial distribution.

Parameters:

trials - Number of trials

probability - Success probability

size - Number of samples to generate

Returns:

Array of samples from binomial distribution

normalPDF

public double normalPDF(double x,
 double mean,
 double stdDev)

Calculates the probability density function for normal distribution.

Parameters:

x - Value to calculate PDF for

mean - Mean of the distribution

stdDev - Standard deviation of the distribution

Returns:

PDF value

normalCDF

public double normalCDF(double x,
 double mean,
 double std)

Calculates the cumulative distribution function for normal distribution.

Parameters:

x - Value to calculate CDF for

mean - Mean of the distribution

std - Standard deviation of the distribution

Returns:

CDF value

generatePoissonDistribution

public double[] generatePoissonDistribution(double lambda,
 int size)

Generates samples from a Poisson distribution.

Parameters:

lambda - Rate parameter

size - Number of samples to generate

Returns:

Array of samples from Poisson distribution

generateUniformDistribution

public double[] generateUniformDistribution(int size,
 double min,
 double max)

Generates samples from a uniform distribution.

Parameters:

size - Number of samples to generate

min - Minimum value

max - Maximum value

Returns:

Array of samples from uniform distribution