This paper discusses methods of statistical inference for inequality measures, in particular the nonparametric bootstrap. Standard resampling techniques and a new method for nonparametric resampling under the null hypothesis are discussed. Monte-Carlo simulations show that some bootstrap methods...

This paper applies the probabilistic approach developed by Daraio and Simar (J Prod Anal 24:93–121, <CitationRef CitationID="CR13">2005</CitationRef>, Advanced robust and nonparametric methods in efficiency analysis. Springer Science, New York, <CitationRef CitationID="CR14">2007a</CitationRef>, J Prod Anal 28:13–32, <CitationRef CitationID="CR15">2007b</CitationRef>) in order to develop conditional and unconditional data...</citationref></citationref></citationref>

Nonparametric estimators are widely used to estimate the productive efficiency of firms and other organizations, but often without any attempt to make statistical inference. Recent work has provided statistical properties of these estimators as well as methods for making statistical inference,...

In the microsimulation literature, it is still uncommon to test the statistical significance of results. In this note we argue that this situation is both undesirable and unnecessary. Provided the parameters used in the microsimulation are exogenous, as is often the case in static...

Cost-benefit ratios for surveys are related to the congruence between objectives and survey measurement capabilities. A high degree of congruence requires careful matching of objectives and survey design. Thus, emphasis is placed on survey planning and improvement of relationships between survey...

This study compares the performance of different rebalancing strategies under realistic market conditions by reporting statistical significance levels. Our analysis is based on historical data from the United States, the United Kingdom, and Germany and comprises three different classes of...

Health state profile data, such as those provided by the EQ-5D, are widely collected in clinical trials, population surveys and a growing range of other important health sector applications. However, these profile data are difficult to summarise to give an overall view of the health of a given...

The paper concerns Web server log file analysis to discover knowledge useful for online retailers. Data for one month of the online bookstore operation was analyzed with respect to the probability of making a purchase by e-customers. Key states and characteristics of user sessions were...

This book approaches the elementary statistical concepts. It presents also some statistical methods of collecting and analysis of data.

Stochastic actor-based models for network dynamics have the primary aim of statistical inference about processes of network change, but may be regarded as a kind of agent-based models. Similar to many other agent-based models, they are based on local rules for actor behavior. Different from many...