Imputation is applied for two quite different purposes: to supply missing data to complete a data set for subsequent modeling analyses or to estimate subpopulation totals. Error properties of the imputed values have different effects in these two contexts. We partition errors of imputation derived from similar observation units as arising from three sources: observation error, the distribution ...

What may be called the problem of imputation, which is a central problem of economics, is that of determining how the end product of the industrial process, called consumption goods, comes to be distributed among the individuals or classes of individuals which make up the economic system. Corresponding to the classes of individuals are classes of goods, which may in particular be arranged as fo...

Non-response in establishment surveys is a very important problem that can bias results of statistical analysis. The bias can be considerable when the survey data is used to do multivariate analysis that involve several variables with different response rates, which can reduce the effective sample size considerably. Fixing the non-response, however, could potentially cause other econometric pro...

We describe bivariate cartograms, a technique specifically designed to allow for the simultaneous comparison of two geo-statistical variables. Traditional cartograms are designed to show only a single statistical variable, but in practice, it is often useful to show two variables (e.g., the total sales for two competing companies) simultaneously. We illustrate bivariate cartograms using Dorling...

We explore the relationship between internal migration and poverty in Tunisia. We present a methodology combining potential outcomes approach with multiple imputation to highlight the effect of internal migration on poverty states. We find that probability of being poor decreases when leaving the poorest regions (the west areas) to the richer regions (greater Tunis and the east regions). Keywor...

The results of a national fear of crime survey are compared with results following the use of different nonresponse correction procedures. We compared naive estimates, weighted estimates, estimates after a thorough nonresponse follow-up and estimates after multiple imputation. A strong similarity between the MI and the follow-up-estimates was found. This suggests, that if the assumptions of MAR...

As a consequence of years of study, geographic Cellular Automata (Geo-CA) models have become far more complex than the original basic CA concepts. In many Geo-CA applications, calibration processes are needed to determine the appropriate model parameter values so that CA models can produce more realistic simulation results. For a multi-parameter Geo-CA model, due to the large number of combinat...

In this sketch we present an interactive real-time city generation system. The aim of such a system is to apply procedural techniques to rapidly generate detailed city models suitable for use in graphics applications. Most commonly, the underlying road network for the city is generated first and is used as a basis for positioning buildings and other features. Existing work includes CityEngine [...

The problem addressed here is that of simultaneous treatment of several gene expression datasets, possibly collected under different experimental conditions and/or platforms. Using robust statistics, a large scale statistical analysis has been conducted over 20 datasets downloaded from the Gene Expression Omnibus repository. The differences between datasets are compared to the variability insid...