INDEX

 

 

 

A

     Adjusted Rē
     AIC
     Akaike's Information Criterion
     Almost sure convergence
     Alternative hypothesis
     ANOVA
     Ascending hierarchy
     Associations
     Asymptotic confidence interval
     Average

 

B

     Backward selection
     Barycenter
     Bayes'theorem
     Bayesian Decision
     Bayesian Information Criterion
     Bias
     Bias-variance tradeoff
     BIC
     Binary (Variable)
     Binomial distribution
     Binomial (negative)
     Binormal distribution
     Bootstrap
     Buffon's needle

 

C

      Cauchy (distribution)
      Cauchy-Schwarz inequality
      Categorical variable
      Central Limit Theorem
      Change of variable
      Chebyshev inequality
      Chi-2 (general)
      Chi-square distribution
      Chi-square test
      Classification
      Cluster analysis
      Coefficient of determination
      Collinearity
      Combination of estimators
      Composite hypothesis
      Conditional expectation
      Conditional variance
      Confidence interval
      Confidence level
      Consistent estimator
      Contingency table
      Convergence (Almost sure)
      Cook's distance
      Correlation coefficient
      Correlation matrix
      Correlation (Multiple)
      Correlation (Partial)
      Correspondence Analysis
      Cost (of misclassification)
      Covariance
      Covariance matrix
      Cp (Mallows')
      Criterion (Fisher's)
      Cross validation
      Cumulative distribution function
      Curse of dimensionality

 

D

     Data
     Data Modeling
     Decision Trees
     Dendogram
     Density
     Descriptive modeling
     Determination (Coefficient of)
     DFFITS
     Dimensionality
     Dimensionality reduction
     Discriminant analysis
     Discriminant function
     Distribution function
     Dunnett test

 

E

      Effective (nb. of parameters)
      Efficient estimator
      Empirical distribution function
      Erlang's distribution
      Estimation
      Estimators (Combination of)
      Expectation
      Expectation (Conditional)
      Expectation (Iterated)
      Exponential distribution
      Extreme (point)

 

F

      Factorization theorem
      Failure rate function
      Familywise error rate
      Finite population
      Fisher's criterion
      Fisher's F distribution
      Fisher-Irwin test
      Fisher's linear discriminant
      Fisher's theorem
      Forward selection
      Friedman (test)
      Fundamental Theorem
        of Statistics

G

     Gamma distribution
     Gauss-Markov theorem
     Generalization
     Generating function
     Geometric distribution
     Goodness-of-fit test

 

H

     Hazard rate function
     
Heteroscedasticity
     
Hierarchical clustering
     Histogram
     
Homoscedasticity
     Hypergeometric distribution

 

I-J

      Independent samples
      Independent variables
      Indicators
      Inertia
      Intercept
      Interpretability
      Interval estimation
      Iterated expectation
      Jacobian determinant
      Jensen's inequality

 

K

     K-means
     K-Nearest Neighbors
     Kohonen maps
     Kolmogorov test
     Kolmogorov-Smirnov test
     Kruskal-Wallis test
     Kullback-Leibler distance

 

L

     Law of Large Numbers (Weak)
     Law of Large Numbers (Strong)
     Least Squares Line
     Least squares estimation
     Least Squares (Weighted)
     "Leave One Out"
     Leverage
     Likelihood
     Likelihood (Method of Maximum)
     Likelihood (Penalized)
     Likelihood ratio
     Linear (model)
     Linear Regression (Simple)
     Logistic Regression
     Log-likelihood
     Lorentzian distribtution
     LOTUS

 

M

     Mahalanobis distance
      Mallows' Cp
      Mann-Whitney test
      Markov inequality
      Matched samples
      Maximum likelihood
     Mean (of a distribution)
      Mean Square Error
     Memoryless property (Weak)
      Memoryless property (Strong)
      Metrics
      Miner's problem
      Modeling (Data)
      MLP
      (M)MSE
      Moment generating function
      Moments (Estimation by the         Method of)
      Monte-Carlo simulation
      Multilayer Perceptron
      Multinomial Distribution
      Multiple comparisons
      Multiple correlation
      
Multiple Linear Regression

 

N

     Negative binomial distribution
     Nested models
     Neural networks
     Newman-Keuls test
     Neyman-Pearson lemma
     Nominal variable
     Non parametric model
     Non parametric test
     Normal (univariate) distribution
    Normal (bivariate) distribution
     Normal probability plot
     Numerical variable

 

O

     Order statistics
     Ordinal variable
     Outlier
     Overfitting

P

      Parallel (Devices in)
      Parameters (of a model)
      Parameter estimation
      Parametric model
      Parametric test
      Partial correlation
      PCA
      Penalized likelihood
      Pivot
      PLS regression
      Poisson distribution
      Point estimation
      Posterior probabilities
      "Post hoc" tests
      Power (of a test)
      Predictive modeling
      PRESS
      Prior probabilities
      Principal Component Analysis
      Probability density function
      Probability integral transformation
      Product of r.v. (Expectation of)
      p-value

 

Q

     QIQ transformation
     Quantile
     Q-Q plot

 

R

      
      Rē (Adjusted)
      Random sum of r.v.
      Random parameter
      Rank (of an observation)
      "Rankit"plot
      Rank correlation
      Ratio of r.v.
      RBF networks
      Regression
      Regularization
      Relative efficiency (ot two         estimators)
      Replacement (Without)
      Residual
      Ridge regression
      Robustness

 

S

    Sample
     Segmentation
     Segmentation Trees
     Selecting variables
     Separability (of classes)
     Series (Devices in)
     Shrinkage
     Significance level
     Simple hypothesis
     Simple Linear Regression
     Simulation (Monte-Carlo)
     Slope
     Snedecor
     SOM
     Splitting a Poisson r.v.
     Standard Deviation
     Standardization
     Stepwise selection
     Strong Law of Large Numbers
     Strong memoryless property
     Student's t distribution
    Studentized residual
    
Sufficient statistic
     Sum of r.v.

T

     t-distribution
     t-test
     Test (of a hypothesis)
     Training (supervised)
     Training (unsupervised)
     Transformation (of variables)
    Transformation (Probability        Integral)
     Typology

 

U

    Unconscious statistician
    Uniform distribution

 

V-Z

    Validation
    Variable selection
   Variable transformation
    Variance
    Variance (Conditional)
    Variance (Analysis of)
    Voronoi tessalation
    Ward distance
    Weak Law of Large Numbers
    Weighted Least Squares
    Welch's approximation
    Wilcoxon-Mann-Whitney test
    Without replacement (Sampling)

 

 

 

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