Statistical Data Editing Impact On Data Quality
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Statistical Data Editing Impact On Data Quality
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Author : United Nations. Statistical Commission
language : en
Publisher: United Nations Publications
Release Date : 1994
Statistical Data Editing Impact On Data Quality written by United Nations. Statistical Commission and has been published by United Nations Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Data editing methods and techniques may significantly influence the quality of statistical data as well as the cost efficiency of statistical production. Volume 2 is the logical continuation of the first part of the series, which defined statistical data editing and presented associated methods and software. The aim of these publications is to assist National Statistical Offices in their efforts to improve and economize their data editing processes.
Statistical Data Editing
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Author :
language : en
Publisher:
Release Date : 2006
Statistical Data Editing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Statistical Data Editing
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Author : Naciones Unidas. Comisión de Estadística
language : en
Publisher:
Release Date : 2006
Statistical Data Editing written by Naciones Unidas. Comisión de Estadística and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Handbook Of Statistical Data Editing And Imputation
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Author : Ton de Waal
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-04
Handbook Of Statistical Data Editing And Imputation written by Ton de Waal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-04 with Mathematics categories.
A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values. As a result, the important role of statistical data editing, and the amount of resources involved, has motivated considerable research efforts to enhance the efficiency and effectiveness of this process. Handbook of Statistical Data Editing and Imputation equips readers with the essential statistical procedures for detecting and correcting inconsistencies and filling in missing values with estimates. The authors supply an easily accessible treatment of the existing methodology in this field, featuring an overview of common errors encountered in practice and techniques for resolving these issues. The book begins with an overview of methods and strategies for statistical data editing and imputation. Subsequent chapters provide detailed treatment of the central theoretical methods and modern applications, with topics of coverage including: Localization of errors in continuous data, with an outline of selective editing strategies, automatic editing for systematic and random errors, and other relevant state-of-the-art methods Extensions of automatic editing to categorical data and integer data The basic framework for imputation, with a breakdown of key methods and models and a comparison of imputation with the weighting approach to correct for missing values More advanced imputation methods, including imputation under edit restraints Throughout the book, the treatment of each topic is presented in a uniform fashion. Following an introduction, each chapter presents the key theories and formulas underlying the topic and then illustrates common applications. The discussion concludes with a summary of the main concepts and a real-world example that incorporates realistic data along with professional insight into common challenges and best practices. Handbook of Statistical Data Editing and Imputation is an essential reference for survey researchers working in the fields of business, economics, government, and the social sciences who gather, analyze, and draw results from data. It is also a suitable supplement for courses on survey methods at the upper-undergraduate and graduate levels.
Statistical Data Editing Methods And Techniques
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Author :
language : en
Publisher:
Release Date : 1994
Statistical Data Editing Methods And Techniques written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Data editing categories.
Statistical Data Editing
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Author : United Nations. Statistical Commission
language : en
Publisher: New York and Geneva : United Nations
Release Date : 1994
Statistical Data Editing written by United Nations. Statistical Commission and has been published by New York and Geneva : United Nations this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Data editing categories.
Data editing methods and techniques may significantly influence the quality of statistical data as well as the cost efficiency of statistical production. Volume 2 is the logical continuation of the first part of the series, which defined statistical data editing and presented associated methods and software. The aim of these publications is to assist National Statistical Offices in their efforts to improve and economize their data editing processes.
Oecd Glossary Of Statistical Terms
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2008-09-01
Oecd Glossary Of Statistical Terms written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-01 with categories.
The OECD Glossary contains a comprehensive set of over 6 700 definitions of key terminology, concepts and commonly used acronyms derived from existing international statistical guidelines and recommendations.
Statistical Data Editing Methods And Techniques
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Author : United Nations. Statistical Commission
language : en
Publisher:
Release Date : 1994
Statistical Data Editing Methods And Techniques written by United Nations. Statistical Commission and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematics categories.
The first volume defined statistical data editing and presented associated methods and software. This volume, containing some 30 contributions divided into six chapters, addresses how to solve individual data editing tasks, focusing on efficient techniques for data editing operations and for evaluat
Data And Information Quality
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Author : Carlo Batini
language : en
Publisher: Springer
Release Date : 2016-03-23
Data And Information Quality written by Carlo Batini and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-23 with Computers categories.
This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.
Data Privacy Foundations New Developments And The Big Data Challenge
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Author : Vicenç Torra
language : en
Publisher: Springer
Release Date : 2017-05-17
Data Privacy Foundations New Developments And The Big Data Challenge written by Vicenç Torra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-17 with Technology & Engineering categories.
This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities. Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data.