Acronym soup forStatistics

A statistical method used to compare means across multiple groups.

A criterion for model selection among a finite set of models; similar to AIC but with a stronger penalty for models with more parameters.

A function that describes the likelihood of a random variable to take on a particular value.

A range of values that's likely to contain a population parameter with a certain level of confidence.

A statistical theory that states the distribution of sample means approximates a normal distribution as the sample size grows.

A method used to estimate the parameters of a statistical model by maximizing a likelihood function.

A method of statistical inference used to determine whether an observed difference or relationship between variables is statistically significant.

A method for estimating the parameters in a linear regression model by minimizing the sum of squared residuals.

A technique used to reduce the dimensionality of a dataset while retaining as much variance as possible.

A function that describes the likelihood of a random variable to take on a particular value.

A measure of the differences between predicted values and observed values in a model.

A graphical plot used to evaluate the performance of a binary classifier by plotting true positive rates against false positive rates.