Error Rate Prediction

Last updated: May 14, 2019

What Does Error Rate Prediction Mean?

Error rate prediction is an evaluation of the probability of an error occurring during the completion of a task. Error rate prediction is used to reduce the likelihood of errors occurring in the future. There are five steps in the error rate prediction process:

  • Define the system failure to be examined
  • List and analyze the human error that could occur and their related recovery modes
  • Calculate the human error probabilities using a probably tree
  • Estimate the effect of human failure on the system failure event
  • Recommend changes to the system

Safeopedia Explains Error Rate Prediction

Error prediction rate takes the following five types of human error into account:

  • Errors of selection – the employee uses wrong controls or issues incorrect commands
  • Errors of omission – the employee leaves out a step in the process
  • Error of sequence – the employee performs steps in the wrong order
  • Error of timing – the employee performs the task before or after the appropriate time
  • Error of quantity – the employee uses too little or too much of an ingredient in the process

Share This Term

  • Facebook
  • LinkedIn
  • X

Related Reading

Trending Articles

Go back to top