Uses of Interface
edu.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.