• Entry
  • Reader's guide
  • Entries A-Z

Both censoring and truncation refer to situations in which empirical data on random variables are incomplete or partial. These terms have not been consistently used throughout the existing literature, and what one ...

Loading
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles