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ignore +‎ -able


ignorable (comparative more ignorable, superlative most ignorable)

  1. That can be ignored.
  2. (statistics, of missing data) Unrelated to the parameters being estimated
    • 2003, Jos W. R. Twisk, Applied Longitudinal Data Analysis for Epidemiology, ISBN 0521525802:
      Although there is an abundance of statistical literature describing (complicated) methods that can be used to investigate whether or not one is dealing with ignorable or informative missing data in a longitudinal study (see, for instance, Diggle, 1989; Ridout, 1991; Diggle et al., 1994), it is basically quote easy to investigat this matter.
    • 2007, Patrick E. McKnight, ‎Katherine M. McKnight, ‎& Souraya Sidani, Missing Data: A Gentle Introduction, ISBN 1606238205, page 50:
      Another pertinent distinction in Rubin's missing data classification system is whether the missing data mechanism is ignorable.
    • 2015, Trivellore Raghunathan, Missing Data Analysis in Practice, ISBN 1482211939, page 6:
      If θ and φ are not functionally related to each other (or that the knowledge of one does not provide any information about the other) then the parameters are called “distinct,” and the missing data mechanism is ignorable.

Usage notes[edit]

  • Used especially in statistics, in regards to the conditions under which the fact that a set of observations has missing data items can be ignored in statistical inference.




See also[edit]