Wolfram Demonstrations Project
Statistics
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Demonstrations 121 - 140 of 771
Bayes's Theorem and Inverse ProbabilityA Canadian Lottery WheelGUM versus Exact Uncertainty of sin(x) and cos(x) When x Is Normally DistributedProbability of a Union by the Principle of Inclusion-ExclusionLogical Expression for Assumptions on Parameters in Mathematica's Symbolic Distributions
Bayes's Theorem and Inverse Probability
A Canadian Lottery Wheel
GUM versus Exact Uncertainty of sin(x) and cos(x) When x Is Normally Distributed
Probability of a Union by the Principle of Inclusion-Exclusion
Logical Expression for Assumptions on Parameters in Mathematica's Symbolic Distributions
Illustrating the Central Limit Theorem with Sums of Bernoulli Random VariablesThe Kappa DistributionThe Appeals Court ParadoxBasis Instruments Contracts (BICs) in Baseball World Series OddsComparing Ambiguous Inferences when Probabilities Are Imprecise
Illustrating the Central Limit Theorem with Sums of Bernoulli Random Variables
The Kappa Distribution
The Appeals Court Paradox
Basis Instruments Contracts (BICs) in Baseball World Series Odds
Comparing Ambiguous Inferences when Probabilities Are Imprecise
Maximum Likelihood EstimationNoise Retrieval from Averaged SequencesAnt Colony Optimization (ACO)Phasor and Temporal Diagrams in Electrical Power-System Fault AnalysisEstimating the Local Mean Function
Maximum Likelihood Estimation
Noise Retrieval from Averaged Sequences
Ant Colony Optimization (ACO)
Phasor and Temporal Diagrams in Electrical Power-System Fault Analysis
Estimating the Local Mean Function
Sampling a Uniformly Random RotationHidden Correlation in RegressionExpected Dynamics of an Imitation Model in 2x2 Symmetric GamesSimulating the Branching ProcessNonparametric Regression and Kernel Smoothing: Confidence Regions for the L2-Optimal Curve Estimate
Sampling a Uniformly Random Rotation
Hidden Correlation in Regression
Expected Dynamics of an Imitation Model in 2x2 Symmetric Games
Simulating the Branching Process
Nonparametric Regression and Kernel Smoothing: Confidence Regions for the L2-Optimal Curve Estimate

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