Business surveys often use complex sets of edit rules (edits, for short) to check returned questionnaires (records), locate suspicious or unacceptable responses, and support data cleaning operations prior to using the survey responses for estimation of the required target parameters. These sets...

We propose simple parametric and nonparametric bootstrap methods for estimating the prediction mean square error (PMSE) of state vector predictors that use estimated model parameters. As is well known, substituting the model parameters by their estimates in the theoretical PMSE expression that...

We demonstrate an approach to low-dimensional modeling of world population, carbon dioxide (CO2) emissions and gross domestic product (GDP) interactions in a way that explicitly characterizes the variability in the data informing model assumptions and the uncertainty in functional relationships....

It is increasingly understood across the information technology and services sector that engagement with the open source software model can serve as a means for firms to capture intellectual energy, learn about productive software processes, access relevant technical skills, identify and recruit...

The problem of simultaneous inference and multiple comparison for comparing means of k(≥3) populations has been long studied in the statistics literature and is widely available in statistics literature. However to-date, the problem of multiple comparison of regression models has not found its...