Uses of Interface
edu.ucla.stat.SOCR.core.IValueSettable

Packages that use IValueSettable
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 IValueSettable in edu.ucla.stat.SOCR.applications
 

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

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

Classes in edu.ucla.stat.SOCR.applications.demo that implement IValueSettable
 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 IValueSettable in edu.ucla.stat.SOCR.chart.util
 

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

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

Classes in edu.ucla.stat.SOCR.core that implement IValueSettable
 class Distribution
          Distribution: An abstract implmentation of a real probability distribution.
 class Experiment
          This class defines a basic, discrete time stochastic process that can be subclassed
 class Game
          This class defines a basic shell for an interactive exploration.
 class MultiplePartsPanel
          This class will be used for game and experiment, basically it has three parts.
 class SOCRValueSettable
           
 

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

Classes in edu.ucla.stat.SOCR.distributions that implement IValueSettable
 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 IValueSettable in edu.ucla.stat.SOCR.experiments
 

Classes in edu.ucla.stat.SOCR.experiments that implement IValueSettable
 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: 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
          Basic coin-tossing experiment that illustrates the binomial distribution
 class BinomialTimelineExperiment
           
 class BirthdayExperiment
          The Birthday Experiment consists of selecting a sample of a specified size, with replacement, from a population of a specified size.
 class BivariateNormalExperiment
          This class models the Bivariate Normal Experiment
 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
           
 class ChuckALuckExperiment
          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
          A basic experiment that tosses n coins, generating a random sample from the Bernoulli distribution
 class ConfidenceIntervalExperimentGeneral
           
 class ConfidenceIntervalExperimentSimple
           
 class CouponCollectorExperiment
          The coupon collector experiment consists of selecting a sampling, with replacement from a finite population.
 class CrapsExperiment
          The basic casino craps game
 class DiceExperiment
          A basic experiment that consists of rolling n dice.
 class DiceSampleExperiment
          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 ExponentialExperiment
          This experiment models the exponential distribution in terms of the inter- arrival times of a Poisson process
 class FiniteOrderStatisticExperiment
          This class models the experiment of selecting a sample of a specified size (without replacement) from from the population 1, 2, ..., N.
 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 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 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 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 SignTestExperiment
          This class models the sign test experiment.
 class SpinnerExperiment
           
 class TriangleExperiment
          The triangle experiment is to break a stick at random and see if the pieces form a triangle.
 class UniformEstimateExperiment
          This class models the point estimation problem associated with the uniform distribuiton on the interval [0, a].
 class UrnExperiment
          A basic experiment based on drawing balls from an urn
 class VarianceEstimateExperiment
          This class models the interval estimate experiment for the variance in the standard normal model.
 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 IValueSettable in edu.ucla.stat.SOCR.games
 

Classes in edu.ucla.stat.SOCR.games that implement IValueSettable
 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 FourierGame
          This class models a simple interactive scatterplot.
 class GaltonBoardGame
          This class models a simple Galton board game.
 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.
 class WaveletGame
          This class models a simple interactive scatterplot.