73 citations · 77 across the 13 of their papers we have counts for
4 papers · 1 filter
A New Framework for Random Effects Models
Norm Matloff
A different general philosophy, to be called Full Randomness (FR), for the analysis of random effects models is presented, involving a notion of reducing or preferably eliminating…
A New Method for Avoiding Data Disclosure While Automatically Preserving Multivariate Relations
Norman Matloff, Patrick Tendick
Statistical disclosure limitation (SDL) methods aim to provide analysts general access to a data set while limiting the risk of disclosure of individual records. Many methods in th…
Improved Estimation of Class Prior Probabilities through Unlabeled Data
Norman Matloff
Work in the classification literature has shown that in computing a classification function, one need not know the class membership of all observations in the training set; the unl…
A Different Approach to the Problem of Missing Data
Xiao Gu, Norman Matloff
There is a long history of devleopment of methodology dealing with missing data in statistical analysis. Today, the most popular methods fall into two classes, Complete Cases (CC)…