The "Book of Animations" 
on your computer.............  

The Animations in
Alphabetical order..............


 

 

 

 

LIST OF THE 61 ANIMATIONS   (by Themes)

 

 

Red arrows () point to animations in the Free Area (Glossary)

Blue arrows  () point to animations in the Pay Area (Tutorials)

The same animation may appear at several places in the list.

 

 

 

 

The Animations come in 4 groups:

 

 

  Probability distributions

  Statistics

 

  Geometry

 

  Data Modeling

 

 

 

Probability distributions


Animations on Probability Distributions follow the same general pattern :

 

 

 

Discrete Distributions

 

 

Binomial distribution

 

Binomial     (Calculator)

 

Indépendant binomial distributions
                         (conditionally to their sum)

 

Negative binomial distribution

 

Geometric distribution

 

Hypergeometric distribution

 

Poisson distribution               (Comparison with binomial distribution)

 

Poisson distribution               (Simulation)

 

Poisson process

 

 

 

 

Continuous Distributions

 

 

Beta distribution

 

Cauchy (or Lorentz) distribution

 

Exponential distribution               (Basic properties)

 

Exponential distribution               (Maximum Likelihood                                                                                         estimation of the mean)

 

Exponential distribution               (Weak memoryless property)

 

Exponential distribution               (Strong memoryless property)

 

Exponential distributions             (Min. of independent)

 

Exponential distributions             (Proba. to be the first to fail)

 

Exponential distribution               (Distribution of spacings)
                                                                                       (Expectation of max)

 

Exponential distributions              Distributions  of X1 and of X2 
                                                                                       conditionally to X1 < X2 

 

Exponential distribution               Distributions of the record values

 

Gamma distribution                     (Shape, adjustable parameters)

 

Gamma distribution                     (as sum of exponential r.v.)

 

Mahalanobis distance

 

Normal distribution                      (Distribution of the sample mean)

 

Normal distribution                      (Estimation of µ and σ˛)

 

Normal distribution                      (with normally distributed mean)

 

Normal distribution (bivariate)

 

Order statistics

 

Probability integral transformation

 

Order statistics of the uniform distribution

 

Uniform distribution                     (Four illustrated problems)

 

Uniform distribution                     (Distributions of the order statistics)

 

Uniform distribution                     (Distributions of the record values)

 

Uniform distribution                     (Distributions of product and ratio)

 

 

 

 

Distributions derived from the normal distribution

 

 

Chi-2 distribution

 

Fisher's F distribution

 

Student's T distribution

 

 

 

 

Sampling

 

 

Asymptotic distribution of a LRT statistic

 

Distribution of the sample mean of an exponential distribution

 

Distribution of the sample mean of a normal distribution

 

Central Limit Theorem

 

Marginal distribution

 

Order statistics

 

Records

 
 

Statistics

 

 

Bias                       (The sample mean is an unbiased estimator)

 

Bias                       (Unbiased, UMVUE, lowest MSE)

 

Bootstrap

 

Chi-2 statistic          (comparison with G˛ statistic)

 

Confidence interval

 

Fisher-Irwin test                 (Identical Bernoulli populations)

 

Histogram                          (and the bias-variance tradeoff)

 

Independent estimators

 

Likelihood Ratio Test : asymptotic distribution

 

Maximum Likelihood                 (Exponential distribution)

 

Maximum Likelihood                 (Normal distribution)

 

Monte-Carlo simulation

 

t test                                           (2 independent samples)

 
 

 Geometry

Main geometric properties of a sample or a distribution.
 

 

Barycenter

 

Covariance and Correlation Coefficient

 

Covariance matrix

 

Inertia of a cloud of points

 

Kullbak-Leibler distance

 

Least squares line

 

Mean (of a sample)

 

Probability density and distribution function

 

Standard deviation

 

Standardization

 


 

 

Modeling

 

 

Dimensionalty reduction

 

 

Bias-variance tradeoff

 

Fisher's linear discriminant

 

Linear regression

 

 

Intercept (Distribution of the)

 

Slope (Distribution of the)

 

Weighted Least Squares

 

 

The "Book of Animations" on your computer