The Uptick in Income Segregation: Real Trend or Random Sampling Variation?

Income inequality and income segregation.

This article investigates how the growth in income inequality from 1970 to 2000 affected patterns of income segregation along three dimensions: the spatial segregation of poverty and affluence, race-specific patterns of income segregation, and the geographic scale of income segregation. The evidence reveals a robust relationship between income inequality and income segregation, an effect that i...

The splitting design that leads to simple random sampling

Implementing unequal probability sampling, without replacement, is very complex and several methods have been suggested for its performance, including : Midseno design and systematic design. One of the methods that have been introduced by Devil and Tille (1998) is the splitting design that leads to simple random sampling .in this paper by completely explaining the design, with an example, we ha...

A New Exponential Type Estimator for the Population Mean in Simple Random Sampling

‎In this paper‎, ‎a new estimate of exponential type of auxiliary information to help simple random sampling without replacement of the finite population mean is introduced‎. ‎This new estimator with a few other estimates using two real data sets are compared with the mean square error‎.

Higher Education, Real Income And Real Investment In The Selected OIC Members: Evidence From ARDL And Panel Data Approaches

Real time enhanced random sampling of online social networks

Social graphs can be easily extracted from Online Social Networks (OSNs). However, as the size and evolution of this kind of networks increases over time, typical sampling methods used to evaluate large graph information cannot accurately extract network’s properties. Furthermore in an attempt to deal with ever increasing access and possible malicious incidents (e.g. Denial of Services), OSNs p...