Uses of Interfaceedu.ucla.stat.SOCR.core.Pluginable

Packages that use Pluginable
edu.uah.math.experiments
edu.uah.math.games
edu.ucla.stat.SOCR.applications
edu.ucla.stat.SOCR.applications.demo
edu.ucla.stat.SOCR.chart.util
edu.ucla.stat.SOCR.core
edu.ucla.stat.SOCR.distributions
edu.ucla.stat.SOCR.experiments
edu.ucla.stat.SOCR.games

Uses of Pluginable in edu.uah.math.experiments

Classes in edu.uah.math.experiments that implement Pluginable
 class BallotExperiment
This class implements the classical ballot experiment: the winner has a specified number of votes and the loser has a specified, smaller number of votes.
 class BertrandExperiment
Betrand's experiment is to create a random chord on the unit circle and see if the lenght of this chord is longer thant the length of a side of the inscribed triangle.
 class BetaCoinExperiment
This class models the beta coin experiment.
 class BetaEstimateExperiment
This class models the point estimation problem of the beta distribution.
 class BinomialCoinExperiment
This experiment consists of tossing n coins, each with probability of heads p.
 class BinomialTimelineExperiment
This class implements the binomial experiment.
 class BirthdayExperiment
This class models the birthday experiment: a sample of a specified size is chosen with replacement from a population of a specified size.
 class BivariateNormalExperiment
This experiment generates a point (X, Y) from a bivariate normal distribution with mean (0, 0).
 class BivariateUniformExperiment
This class models a bivariate uniform experiment.
 class BuffonCoinExperiment
Buffon's coin experiment consists of tossing a coin on a floor covered in square tiles.
 class BuffonNeedleExperiment
Buffon's needle experiment consists of dropping a needle on a wooden floor.
 class CardExperiment
The card experiment consists of drawing a sample of cards, without replacement, form a standard deck.
 class ChiSquareFitExperiment
This class models a chi-square Goodness of fit experiment in terms of dice.
 class ChuckALuckExperiment
This class models the classic chuck-a-luck experiment that consists of rolling three dice.
 class CoinDieExperiment
The coin-die experiment consists of tossing a coin, and then rolling one of two dice, depending on the value of the coin.
 class CoinSampleExperiment
This class models a basic experiment that tosses n coins, generating a random sample from the Bernoulli distribution.
 class CoinTossLawOfLargeNumbersExperiment
This experiment consists of tossing n coins, each with probability of heads p.
 class CouponCollectorExperiment
The coupon collector experiment consists of selecting a sampling, with replacement from a finite population.
 class CrapsExperiment
This class simulates the basic casino craps game.
 class DiceExperiment
This class models a basic experiment that consists of rolling n dice.
 class DiceSampleExperiment
This class models a simple experiment that consists of rolling n dice, thus sampling from the underlying die distribution.
 class DieCoinExperiment
The die-coin experiment consists of rolling a die, and then tossing a coin the number of times shown on the die.
 class EstimateExperiment
This class defines a basic experiment to illustrate point estimates of a parameter.
 class Experiment
This class defines a basic, discrete time stochastic process that can be subclassed.
 class ExponentialTimesCarExperiment
This class models the Times between Cars driving on a highway.
 class FiniteOrderStatisticExperiment
This class models the experiment of selecting a sample of a specified size (without replacement) from from the population 1, 2, ..., m.
 class FireExperiment
This class models the fire experiment.
 class GaltonBoardExperiment
This class models the classical Galton board experiment, illustrating the binomial distribution.
 class GammaEstimateExperiment
This class models the point estimation exerpiment for the gamma distribution.
 class GammaExperiment
This class models the gamma distribution in terms of the arrival times of a Poisson process.
 class LLN_SimpleExperiment
This experiment consists of tossing n coins, each with probability of heads p.
 class MarkovChainExperiment
This class models a basic Markov chain with state space {0, 1, ..., n}.
 class MatchExperiment
This class models the matching experiment.
 class MeanEstimateExperiment
This class models the interval estimation experiment in the standard normal model.
 class MeanTestExperiment
This class models the hypothesis test experiment in the standard normal model.
 class MontyHallExperiment
This class models the famous Monty Hall experiment.
 class NegativeBinomialExperiment
This class models the negative binomial experiment; the random variable of interest is the number of trials until a specified number of successes.
 class NormalEstimateExperiment
This class models the point estimation problem associated with the normal distribution.
 class OrderStatisticExperiment
This experiment illustrates the distribution of the order statistic corresponding to a specified distribution and a specified order.
 class ParetoEstimateExperiment
This class models the point estimation problem of the Pareto distribution.
 class PointExperiment
This class models the famous problem of points experiment.
 class Poisson2DExperiment
This class models the 2 dimensional Poisson process.
 class PoissonExperiment
This class models the number of arrivals in an interval of a specified size for the Poisson process with a specified rate.
 class PoissonSplitExperiment
This class models the two-type Poisson experiment.
 class PokerDiceExperiment
The poker dice exeperiment consists of rolling 5 dice.
 class PokerExperiment
This class models the experiment of dealing a standard 5-card poker hand.
 class ProbabilityPlotExperiment
This class models the probability plot experiment.
 class ProportionEstimateExperiment
This class models the experiment of estimating the probability of success in the Bernoulli trials model.
 class ProportionTestExperiment
This class models the hypothesis testing experiment for the probability of success in the Bernoulli trials model.
 class RandomVariableExperiment
This is a basic experiment for simulating the values from a number of distributions.
 class RandomWalkExperiment
This class models the simple random walk on the time interval [0, 2n].
 class RedBlackExperiment
This class models the red and black experiment.
 class RouletteExperiment
This class models the casino roulette experiment.
 class SampleMeanExperiment
This class models the sample mean experiment.
 class SamplingDistributionExperiment
A Sampling Distribution and CLT Experiment
 class SignTestExperiment
This class models the sign test experiment.
 class SpinnerExperiment
This experiment spins a spinner (the number of divisions is specified by the user) and records the value of each spin.
 class TriangleExperiment
The triangle experiment is to break a stick at random and see if the pieces form an acute triangle, an obtuse triangle, or no triangle at all.
 class Uniform_E_EstimateExperiment
This class models the point estimation problem associated with the Uniform distribuiton on the interval [0, 1].
 class UniformEstimateExperiment
This class models the point estimation problem associated with the uniform distribuiton on the interval [0, a].
 class UrnExperiment
This class defines a basic experiment based on drawing balls from an urn.
 class VarianceEstimateExperiment
The experiment is to select a random sample of size n from a specified distribution, and then to construct an approximate confidence interval for the standard deviation at a specified confidence level.
 class VarianceTestExperiment
This class models the hypothesis testing experiment for the variance in the standard normal model.
 class VoterExperiment
This class models the voter experiment.

Uses of Pluginable in edu.uah.math.games

Classes in edu.uah.math.games that implement Pluginable
 class BivariateGame
This class models a simple interactive scatterplot.
 class ErrorGame
This class is an applet for exploring the measures of center and dispersion in terms of error functions.
 class GaltonBoardGame
This class models a simple Galton board game.
 class Game
This class defines a basic shell for an interactive exploration.
 class HistogramGame
This class models an interactive historgram.
 class MontyHallGame
This class models the famous Monty Hall game.
 class RedBlackGame
This class models the red-black game.

Uses of Pluginable in edu.ucla.stat.SOCR.applications

Classes in edu.ucla.stat.SOCR.applications that implement Pluginable
 class Application

Uses of Pluginable in edu.ucla.stat.SOCR.applications.demo

Classes in edu.ucla.stat.SOCR.applications.demo that implement Pluginable
 class BinomialTradingApplication
The Binomial Trading Application demonstrates the Price of a stock call with time: Inputs: S0 = Price of the stock at time zero (now).
 class BlackScholesApplication
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
 class NoApp
Package: edu.ucla.stat.SOCR.applications.demo Date: Aug 20, 2008 Time: 2:43:45 AM
 class PortfolioApplication
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
 class PortfolioApplication2
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
 class StockApplication
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
 class StockSimulationApplication
The triangle experiment is to break a stick at random and see if the pieces form a triangle.

Uses of Pluginable in edu.ucla.stat.SOCR.chart.util

Classes in edu.ucla.stat.SOCR.chart.util that implement Pluginable
 class MixtureEMExperiment

Uses of Pluginable in edu.ucla.stat.SOCR.core

Subinterfaces of Pluginable in edu.ucla.stat.SOCR.core
 interface IExperiment

 interface IGame

Classes in edu.ucla.stat.SOCR.core that implement Pluginable
 class Distribution
Distribution: An abstract implmentation of a real probability distribution.

Uses of Pluginable in edu.ucla.stat.SOCR.distributions

Classes in edu.ucla.stat.SOCR.distributions that implement Pluginable
 class AndersonDarlingDistribution
This class defines the Anderson-Darling distribution with a specifed parameter n>=1.
 class ArcSineDistribution
This class models the Arc-Sine distribution on a specified interval.
 class BenfordDistribution
This class models the Benford distribution with parameters m (population size), n (sample size), and r (number of type 1 objects).
 class BernoulliDistribution
The Bernoulli distribution with parameter p http://mathworld.wolfram.com/BernoulliDistribution.html .
 class BetaBinomialDistribution
The binomial distribution with specified parameters: the number of trials (n) and the probability of success (p) http://mathworld.wolfram.com/BetaBinomialDistribution.html .
 class BetaDistribution
A Java implmentation of the beta distribution with specified left(alpha) and right(beta) parameters http://mathworld.wolfram.com/BetaDistribution.html .
 class BetaGeneralDistribution
A Java implmentation of the (General) Beta Distribution with specified: left(alpha) and right(beta) parameters AND LIMITS A and B.
 class BinomialDistribution
The binomial distribution with specified parameters: the number of trials (n) and the probability of success (p) http://mathworld.wolfram.com/BinomialDistribution.html .
 class BinomialRandomNDistribution
The binomial distribution with a random number of trials
 class BirthdayDistribution
This class models the distribution of the number of distinct sample values when a sample of a specified size is chosen with replacement from a finite population of a specified size.
 class CauchyDistribution
This class models the Cauchy distribution
 class ChiDistribution
This class defines the Chi distribution with a specifed degrees of freedom.
 class ChiSquareDistribution
This class defines the chi-square distribution with a specifed degrees of freedom.
 class CircleDistribution
This class models the Circle distribution with parameter a (radius).
 class ContinuousUniformDistribution
This class models the uniform distribution on a specified interval.
 class Convolution
This class creates the n-fold convolution of a given distribution
 class CouponDistribution
This class models the distribution of the sample size needed to get a specified number of distinct sample values when sampling with replacement from a finite population of a specified size: http://www.math.uah.edu/stat/urn/Coupon.xhtml
 class DieDistribution
Distribution for a standard 6-sided die
 class DiscreteArcsineDistribution
This class models the discrete ArcSine distribution that governs the last zero in a symmetric random walk on an interval.
 class DiscreteUniformDistribution
The discrete uniform distribution on a finite set.
 class ErlangDistribution
A Java implmentation of the Erlang distribution with specified Scale (scale) and shape (shape) parameters http://mathworld.wolfram.com/ErlangDistribution.html .
 class ErrorDistribution
A Java implementation of the Error distribution with specified Location, Scale and Shape parameters http://en.wikipedia.org/wiki/Exponential_power_distribution.
 class ExponentialDistribution
This class defines the (general) Exponential distribution with rate parameter r and shift parameter s.
 class FiniteDistribution
A basic discrete distribution on a finite set of points, with specified probabilities
 class FiniteOrderStatisticDistribution
This class models the distribution of the k'th order statistic for a sample of size n chosen without replacement from {1, 2, ..., N} .
 class FisherDistribution
This class models the Fisher F distribution with a spcified number of degrees of freedom in the numerator and denominator.
 class FisherTippettDistribution
A Java implmentation of the FisherTippettdistribution with specified alpha & beta parameters http://mathworld.wolfram.com/FisherTippettDistribution.html .
 class GammaDistribution
Gamma distribution with a specified shape parameter and scale parameter.
 class GeneralCauchyDistribution
A Java implmentation of the General Cauchy distribution with specified alpha & beta parameters.
 class GeneralizedExtremeValueDistribution
This class models the Generalized-Extreme-Value (GEV) Distribution with specified 3 parameters (location, scale, shape): The generalized extreme value distribution (GEV) is a family of continuous probability distributions developed within extreme value theory to combine the Gumbel, FrEchet and Weibull families also known as type I, II and III extreme value distributions.
 class GeometricDistribution
The geometric distribution with parameter p.
 class GilbratsDistribution
This class models the Gilbrat's distribution: A continuous distribution in which the logarithm of a variable x has a Standard Normal distribution.
 class GompertzDistribution
Gompertz distribution with a specified shape parameter and scale parameter.
 class GumbelDistribution
A Java implmentation of the Gumbel distribution with specified alpha & beta parameters http://mathworld.wolfram.com/GumbelDistribution.html .
 class HalfNormalDistribution
This class models the Half-Normal distribution with specified starting and SD parameters.
 class HyperbolicSecantDistribution
This class encapsulates the Hyperbolic-Secant distribution -- no parameters.
 class HypergeometricDistribution
This class models the HyperGeometric distribution with parameters m (population size), n (sample size), and r (number of type 1 objects).
 class InverseGammaDistribution
Gamma distribution with a specified shape parameter and scale parameter.
 class InverseGaussianDistribution
This class encapsulates the normal distribution with specified (mean, SD) parameters.
 class JohnsonSBDistribution
This class models the Johnson SB (Special Bounded) distribution with specified first 4 parameters (mean, SD, skewness, kurtosis): The Johnson family of distributions (N.L.
 class JohnsonSUDistribution
This class models the Johnson SU (Special Unbounded) distribution with specified first 4 parameters (mean, SD, skewness, kurtosis): The Johnson family of distributions (N.L.
 class KolmogorovDistribution
This class defines the Kolmogorov distribution with a specifed parameter n>=1.
 class LaplaceDistribution
This class defines the Laplace distribution with parameters mu & beta.
 class LocationScaleDistribution
This class applies a location-scale tranformation to a given distribution.
 class LogarithmicSeriesDistribution
A Java implmentation of the LogarithmicSeries distribution with specified shape (shape) parameters http://en.wikipedia.org/wiki/Logarithmic_distribution .
 class LogisticDistribution
This class models the logistic distribution
 class LogisticExponentialDistribution
This class models the LogisticExponential distribution http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/lexpdf.htm
 class LogNormalDistribution
This class models the lognormal distribution with specified (mean & SD) parameters.
 class LomaxDistribution
This class models the Lomax distribution (Pareto-distribution of hte second-kind) with a specified parameters (alpha=shape1; gamma=shape2).
 class MatchDistribution
The distribution of the number of matches in a random permutation
 class MaxwellDistribution
This class models the Maxwell distribution with parameter a.
 class MinimaxDistribution
A Java implmentation of the Minimax distribution with specified left(alpha) and right(Minimax) parameters http://mathworld.wolfram.com/topics/ContinuousDistributions.html .
 class MixtureDistribution
The Mixture distribution with parameter-vector p=(p1, p2, ..., pn) http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture is the (linear) mixure of an array of distributions according to the mixing parameters.
 class MultiNomialDistribution
The Multinomial distribution with parameter-vector (k,p), where n=number of trials and event-probabilities p=(p1, p2, ..., pn), with sum(p_k)=1 and p_k>=0, 1<=k<=n.
 class MuthDistribution
A Java implmentation of the Muth distribution with specified left(alpha) and right(Muth) parameters http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/mutpdf.htm .
 class NegativeBinomialDistribution
This class models the negative binomial distribution with specified successes parameter and probability parameter.
 class NegativeHypergeometricDistribution
This class models the NegativeHypergeometric distribution with parameters B (population size), b (sample size), and w (number of special-type 1 objects).
 class NegativeMultiNomialDistribution
The Negative-Multinomial distribution with parameter-vector (x_o,p), where gamma = x_o>=0, and p=(p_1,0, p_r).
 class NonCentralChiSquareDistribution
This class encapsulates the Non-Central Chi-Square distribution with specified: k > 0\, degrees of freedom, and \lambda > 0, non-centrality parameters parameters.
 class NormalDistribution
This class encapsulates the normal distribution with specified (mean, SD) parameters.
 class NormalTruncatedDistribution
This class encapsulates the Truncated Normal distribution with specified parameters: (mean, SD, leftSupportLimit, rightSupportLimit) http://en.wikipedia.org/wiki/Truncated_normal_distribution .
 class OrderStatisticDistribution
The distribution of the order statistic of a specified order from a random sample of a specified size from a specified sampling distribution
 class ParetoDistribution
This class models the Pareto distribution with a specified parameters (alpha=power; theta=LeftStart).
 class PointMassDistribution
Point mass at x0.
 class PoissonDistribution
A Java implementation of the Poisson distribution with specified Shift and Mean parameters http://en.wikipedia.org/wiki/Poisson_distribution.
 class PokerDiceDistribution

 class PowerFunctionDistribution
A Java implementation of the PowerFunction distribution with specified Location, Scale and Shape parameters http://www.mathwave.com/articles/power_function_distribution.html.
 class RayleighDistribution
A Java implmentation of the Rayleigh distribution with specified alpha & beta parameters http://mathworld.wolfram.com/RayleighDistribution.html
 class RiceDistribution
This class models the Rice (Rician) distribution.
 class StudentDistribution
This class models the Student T distribution with a specifed degrees of freedom parameter.
 class TriangleDistribution
This class models the Triangular distribution on a specified interval.
 class TwoSidedPowerDistribution
A Java implementation of the (Two-Sided POwer (TSP) Distribution with specified: left, right, mean and power parameters http://www.springerlink.com/content/u71g0104356x70u1/ .
 class UQuadraticDistribution
This class models the Quadratic U distribution on a specified interval.
 class VonMisesDistribution
This class models the Von-Mises (Circular Gaussian) distribution on [-Pi; Pi].
 class WalkMaxDistribution
This class models the distribution of the maximum value of a symmetric random walk on the interval [0, n].
 class WalkPositionDistribution

 class WeibullDistribution
This class models the Weibull distribution with specified shape and scale parameters.
 class ZipfMandelbrotDistribution
This class models the Zipf-Mandelbrot distribution with parameters N be the number of elements; k be their rank (the value of the random-variable!); w be the value of the power-exponent characterizing the distribution; q be the (rank-)shift [0, \infty) http://en.wikipedia.org/wiki/Zipf-Mandelbrot_law .

Uses of Pluginable in edu.ucla.stat.SOCR.experiments

Classes in edu.ucla.stat.SOCR.experiments that implement Pluginable
 class ConfidenceIntervalExperimentGeneral

 class ConfidenceIntervalExperimentSimple

 class ExponentialExperiment
This experiment models the exponential distribution in terms of the inter- arrival times of a Poisson process
 class GeneralBirthdayExperiment
This class models the general birthday experiment: a sample of a specified size is chosen with replacement from a population of a specified size.
 class SimulationResampleExperiment
The card experiment consists of drawing a sample of cards, without replacement, form a standard deck.

Uses of Pluginable in edu.ucla.stat.SOCR.games

Classes in edu.ucla.stat.SOCR.games that implement Pluginable
 class FourierGame
This class models a simple interactive scatterplot.
 class WaveletGame
This class models a simple interactive scatterplot.