Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...

Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that ...

Space time data sets are often collected at monitored discrete time lags, which are usually viewed as a component of time series. Valid and practical covariance structures are needed to model these ...

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We consider the relative performance of two common approaches to multiple imputation (MI): joint multivariate normal (MVN) MI, in which the data are modeled as a sample from a joint MVN distribution; ...

Choosing the right type of chart helps you display discrete data more effectively. Discrete data consists of whole numbers that are counted rather than measured. For example, when you track items sold ...