ANOVA – Analysis of Variance
BIC – Bayesian Information Criterion
ANORVA – Analysis of Rhythmic Variance
RMSE – Root Mean Square Error
SD – Standard Deviation
MARS – Multivariate Adaptive Regression Splines
RDD – Regression Discontinuity Design
GLS – Generalized Least Squares
SE – Standard Error
ANCOVA – Analysis of Covariance
CMH – Cochran-Mantel-Haenszel test
EL – Empirical Likelihood
DF – Degrees of Freedom
IRLS – Iteratively Reweighted Least Squares
LAD – Least Absolute Deviations
GLMN – Generalized Linear Mixed Model
LLS – Linear Least Squares
FGLS – Feasible Generalized Least Squares
MANCOVA – Multivariate Analysis of Covariance
FDR – False Discovery Rate
AM – Arithmetic Mean
MAE – Mean Absolute Error
RCT – Randomized Controlled Trial
SEM – Standard Error of the Mean
RMSD – Root Mean Square Deviation
LAE – Least Absolute Errors
GLM – Generalized Linear Model
WLS – Weighted Least Squares
OLS – Ordinary Least Squares
MSWD – Mean Squared Weighted Deviation
AAD – Average Absolute Deviation
CDF – Cumulative Distribution Function
MAD – Mean Absolute Deviation
IQR – Interquartile Range
MVUE – Minimum Variance Unbiased Estimator
AMOVA – Analysis of Molecular Variance
GMN – Generalized Method of Moments
FWER – Family Wise Error Rate
MMSE – Minimum Mean Square Error
UMVUE – Uniform Minimum Variance Unbiased Estimator
GM – Geometric Mean
HM – Harmonic Mean
BLUE – Best Linear Unbiased Estimator
GEE – Generalized Estimating Equation
MDE – Minimum Distance Estimation
NHST – Null Hypothesis Significance Testing
FCR – False Coverage Rate
CI – Confidence Interval
LMS – Least Mean Squares
RLS – Recursive Least Squares
