I believe that IVEware will use the normal posterior distribution with constant mean, variance if the variableis continuous, binomial/constant logit model for binary, Poisson constant mean for count, multinomial for categorical etc. It should simply use the regression model with intercept term. You should specify the iterations to be 1.
(Though, we have never tried for one variable data set!) Raghu ________________________________________ From: Impute -- Imputations in Data Analysis [[email protected]] On Behalf Of Paul von Hippel [[email protected]] Sent: Monday, June 06, 2011 10:26 AM To: [email protected] Subject: Re: Univariate imputation To clarify: I have N cases of a single iid variable Y. n<N cases are missing the Y value at random. There are no Xs to predict Y, and that rules out most imputation software, including IVEware. What software is available? In practice imputation is useless in this situation, but it's important from a theoretical point of view. Sent from my iPhone. Please excuse my brevity. On Jun 6, 2011, at 4:56 AM, William Winkler <[email protected]> wrote: > univariate imputation - there are additional methods besides the below two > > http://www.isr.umich.edu/src/smp/ive/ > > http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.3441 - > documentation for slice software - need another url for the software > > > > > > From: Paul von Hippel <[email protected]> > > To: [email protected] > > Date: 06/06/2011 05:18 AM > > Subject: Univariate imputation > > Sent by: Impute -- Imputations in Data Analysis > <[email protected]> > > > > > > > It is common in simulations to impute data with only one variable, but most > imputation software assumes that there are at least two variables. Is > software available that carries out univariate imputation?
