A censored sample involves observations on the dependent variable that are missing or reported as a single value, often due to some known set of values of independent variables. This situation commonly arises in scenarios such as sold-out concert ticket sales, where the true demand is not observed. The Tobit model is frequently employed to address such challenges.
A detailed overview of estimated imputation, emphasizing its role in data analysis and statistical research.
The Missing at Random (MAR) assumption is a key concept in statistical analysis that implies missing data is related to the observed data but not the missing data itself.
