Quantile regression makes no assumptions about the distribution of the target variable. Quantile regression tends to resist the influence of outlying observations. Why are Quantiles used? Quantiles give some information about the shape of a distribution – in particular whether a distribution is skewed or not. For example if theRead More →
Regression is a statistical method used in finance, investing, and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables). What is a regression analysis used for? Regression analysisRead More →
Poisson Regression models are best used for modeling events where the outcomes are counts. Or, more specifically, count data: discrete data with non-negative integer values that count something, like the number of times an event occurs during a given timeframe or the number of people in line at the groceryRead More →