Modifier and Type | Class and Description |
---|---|
class |
Application |
Modifier and Type | Class and Description |
---|---|
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.
|
Modifier and Type | Class and Description |
---|---|
class |
MixtureEMExperiment |
Modifier and Type | Class and Description |
---|---|
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 |
Modifier and Type | Class and Description |
---|---|
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, Fréchet 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,…, p_r).
|
class |
NormalDistribution
This class encapsulates the normal distribution with specified (mean, SD)
parameters.
|
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 .
|
Modifier and Type | Class and Description |
---|---|
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.
|
Modifier and Type | Class and Description |
---|---|
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.
|