Author: Jörg Drechsler
Edition: 2011
Binding: Paperback
ISBN: 1461403251
The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. Download Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics) from rapidshare, mediafire, 4shared. 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, generating partially synthetic datasets, generating synthetic Search and find a lot of medical books in many category availabe for free download. Synthetic Datasets for Statistical Disclosure Control medical books pdf for free. 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 The discussed multiple imputation approaches include imputation for nonresponse, generating fully synthetic datasets, generating partially synthetic datasets, generating synthetic
Edition: 2011
Binding: Paperback
ISBN: 1461403251
The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. Download Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation (Lecture Notes in Statistics) from rapidshare, mediafire, 4shared. 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, generating partially synthetic datasets, generating synthetic Search and find a lot of medical books in many category availabe for free download. Synthetic Datasets for Statistical Disclosure Control medical books pdf for free. 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 The discussed multiple imputation approaches include imputation for nonresponse, generating fully synthetic datasets, generating partially synthetic datasets, generating synthetic
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