We introduce a new measure which assesses the effect of a missing observation, a group of missing observations, an incomplete variable or any combination of ...
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Oct 22, 2024 · Harel (2008) develop the idea of outfluence where different missing values can have different impact on the inference of interest. Using this ...
May 30, 2008 · We introduce a new measure which assesses the effect of a missing observation, a group of missing observations, an incomplete variable or any combination of ...
Applied researchers often encounter the complication of incomplete data. There are a number of methods available for dealing with such a problem.
Outfluence measures the impact of one type of missing data versus all missing values. It is calculated by treating the missing data point or points of interest ...
Oct 22, 2024 · ... Even if a variable has no missing values, its rate of missing information could still be nonzero, due to correlations with other predictors.
In this article, we derive the asymptotic distribution of the outfluence and numerically show that the proposed asymptotic distribution agrees with a simulated ...
Bibliographic details on Outfluence - The impact of missing values.
They might be interested in the impact of a single missing value, or a group of missing values on their inferences. The outfluence is a measure that can ...
To date, there is only one measure, the outfluence, which assesses the impact of a missing value or a group of missing values on the inference. In this ...