14. Empirical Distribution Function

  1. Catherine Forbes1,
  2. Merran Evans1,
  3. Nicholas Hastings2 and
  4. Brian Peacock3

Published Online: 16 DEC 2010

DOI: 10.1002/9780470627242.ch14

Statistical Distributions, Fourth Edition

Statistical Distributions, Fourth Edition

How to Cite

Forbes, C., Evans, M., Hastings, N. and Peacock, B. (2010) Empirical Distribution Function, in Statistical Distributions, Fourth Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470627242.ch14

Author Information

  1. 1

    Monash University, Victoria, Australia

  2. 2

    Albany Interactive, Victoria, Australia

  3. 3

    Brian Peacock Ergonomics, SIM University, Singapore

Publication History

  1. Published Online: 16 DEC 2010
  2. Published Print: 29 NOV 2010

ISBN Information

Print ISBN: 9780470390634

Online ISBN: 9780470627242

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Keywords:

  • empirical distribution function;
  • modified order-numbers;
  • parameter estimation;
  • uncensored data

Summary

An empirical distribution function is one that is estimated directly from sample data, without assuming an underlying algebraic form of the distribution model. This chapter discusses estimates from uncensored and censored data. It explains parameter estimation, presents a graphical method for the modified order-numbers, and describes model accuracy.

Controlled Vocabulary Terms

empirical distribution function; graphical model