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Synthetic Datasets for Statistical Disclosure Control
The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to deal with real data problems like nonresponse, skip patterns, or logical constraints. Each chapter is dedicated to one approach, first describing the general concept followed by a detailed application to a real dataset providing useful guidelines on how to implement the theory in practice. The discussed multiple imputation approaches include imputation for nonresponse, generating fully synthetic datasets, gen...
Handbook of Sharing Confidential Data
Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their intended purposes. In an age when information on data subjects is available from a wide range of data sources, as are the computational resources to obtain that information, this challenge is increasingly difficult. The Handbook of Sharing Confidential Data helps data stewards understand how tools from the data confidentiality literature—specifically, synthetic data, formal privacy, and secure compu...
Handbook of Sharing Confidential Data
Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their intended purposes. In an age when information on data subjects is available from a wide range of data sources, as are the computational resources to obtain that information, this challenge is increasingly difficult. The Handbook of Sharing Confidential Data helps data stewards understand how tools from the data confidentiality literature—specifically, synthetic data, formal privacy, and secure compu...
Jorg Hartig. Realpop
Throughout his life, Jorg Hartig has taken his inspiration from his immediate environment - from phenomena of modern civilization and culture. He particularly engaged with their issues and problems, which has added a strong component of contemporary criticism to his work. Hartig's work is always tied to reality in key subject groups, which characterize both the artist himself and, metaphorically, the respective time period. He himself describes his oeuvre as REAL POP. Hartig's treatment of color in his mostly large-format pictures is masterly. An interview with the artist highlights his pioneering role in the use of acrylic paint in Austria. The richly illustrated book provides a comprehensive insight into the oeuvre and life of the artist.
Recent Advances in Linear Models and Related Areas
This collection contains invited papers by distinguished statisticians to honour and acknowledge the contributions of Professor Dr. Dr. Helge Toutenburg to Statistics on the occasion of his sixty-?fth birthday. These papers present the most recent developments in the area of the linear model and its related topics. Helge Toutenburg is an established statistician and currently a Professor in the Department of Statistics at the University of Munich (Germany) and Guest Professor at the University of Basel (Switzerland). He studied Mathematics in his early years at Berlin and specialized in Statistics. Later he completed his dissertation (Dr. rer. nat. ) in 1969 on optimal prediction procedures ...
Multiple Imputation
Missing values are a common problem in almost any data, whether collected through surveys, clinical trials, or epidemiological studies. This can lead to biased results if the missingness is not taken into account at the analysis stage. Multiple imputation is widely accepted as the most convenient strategy for dealing with item nonresponse in a proper way. With multiple imputation, missing values are imputed (i.e., replaced with plausible values given the observed data) more than once. The multiple copies allow accounting for the extra uncertainty from nonresponse using simple formulae (Rubin's combining rules) ensuring valid inferences based on the imputed data. This extra uncertainty is typ...
Integrated Chemical Processes
This is the first book dedicated to the entire field of integrated chemical processes, covering process design, analysis, operation and control of these processes. Both the editors and authors are internationally recognized experts from different fields in industry and academia, and their contributions describe all aspects of intelligent integrations of chemical reactions and physical unit operations such as heat exchange, separational operations and mechanical unit operations. As a unique feature, the book also introduces new concepts for treating different integration concepts on a generalized basis. Of great value to a broad audience of researchers and engineers from industry and academia.
