An overview of the Box-Cox Transformation, a statistical method for normalizing data and improving the validity of inferences in time-series and other types of data analysis.
A comprehensive guide on limited dependent variables, including their types, key events, detailed explanations, and applications in various fields.
An in-depth exploration of Log-Linear Functions, which are mathematical models in which the logarithm of the dependent variable is linear in the logarithm of its argument, typically used for data transformation and regression analysis.
