Data and metadata exchange between organizations requires a common language for describing structure and content of statistical data and metadata. The SDMX consortium develops content oriented guidelines (COG) recommending harmonized cross-domain concepts and terminology to increase the...

Data and metadata exchange between organizations requires a common language for describing structure and content of statistical data and metadata. The SDMX consortium develops content oriented guidelines (COG) recommending harmonized cross-domain concepts and terminology to increase the...

Data and metadata exchange between organizations requires a common language for describing structure and content of statistical data and metadata. The SDMX consortium develops content oriented guidelines (COG) recommending harmonized cross-domain concepts and terminology to increase the...

This book gives an overview of the state of the art in the area of computational statistics. There are three main topic streams: I. Computation and Algorithms including Treatment of "Huge" Data Sets, Parallel Statistical Computing, Computational Aspects in Optimization, Neural Network, Metadata...

Statistical experiments possess the property of adaptivity, if the ignorance of a nuisance parameter does not cause any loss in efficiency. In order to include a large variety of cases, the efficiency is measured in terms of minimax bounds. It is shown that a necessary and sufficient condition...