M

Machine Learning
Mahalanobis distance
Mallow's CP
Mann-Scheuer-Fertig Test
Manifest Variable
MANOVA
Marginal Frequencies
Markov Chain Monte Carlo (MCMC)
Mass
Matching Moments Method
Matrix Collinearity
Matrix Ill-Conditioning
Matrix Inverse
Matrix Plots
Matrix Plots - Columns
Matrix Plots - Lines
Matrix Plots - Scatterplot
Matrix Rank
Matrix Singularity
Maximum Likelihood Loss Function
Maximum Likelihood Method
Maximum Unconfounding
MD (Missing data)
Mean
Mean/S.D. algorithm (in Neural Networks)
Mean, Geometric
Mean, Harmonic
Mean Substitution of Missing Data
Means, Adjusted
Means, Unweighted
Median
Meta-Learning
Method of Matching Moments
Minimax
Minimum Aberration
Mining, Data
Missing values
Mixed Line Sequential/Stacked Plot
Mixed Step Sequential/Stacked Plot
Mode
Model Profiles (in Neural Networks)
Models for Data Mining
Monte Carlo
MPatt Bar
Multicollinearity
Multidimensional Scaling
Multilayer Perceptrons
Multimodal Distribution
Multinomial Distribution
Multinomial Logit and Probit Regression
Multiple Axes in Graphs
Multiple Censoring
Multiple Dichotomies
Multiple Histogram
Multiple Line Plots
Multiple Scatterplot
Multiple R
Multiple Regression
Multiple Response Variables
Multiple-response Tables
Multiple Stream Group Charts
Multiplicative Season, Damped Trend
Multiplicative Season, Exponential Trend
Multiplicative Season, Linear Trend
Multiplicative Season, No Trend
Multivariate Adaptive Regression Splines (MARSplines)
Multi-way Tables