Statistical Data Editing
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Handbook Of Statistical Data Editing And Imputation
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Author : Ton de Waal
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-22
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 2011-03-22 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
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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.
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
Handbook Of Statistical Data Editing And Imputation
DOWNLOAD
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 Impact On Data Quality
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Author : Nacions Unides
language : en
Publisher:
Release Date : 2006
Statistical Data Editing Impact On Data Quality written by Nacions Unides 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.
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
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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 Data editing categories.
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 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 Cleaning With Applications In R
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Author : Mark van der Loo
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-12
Statistical Data Cleaning With Applications In R written by Mark van der Loo 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 2018-02-12 with Computers categories.
A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy. Key features: Focuses on the automation of data cleaning methods, including both theory and applications written in R. Enables the reader to design data cleaning processes for either one-off analytical purposes or for setting up production systems that clean data on a regular basis. Explores statistical techniques for solving issues such as incompleteness, contradictions and outliers, integration of data cleaning components and quality monitoring. Supported by an accompanying website featuring data and R code. This book enables data scientists and statistical analysts working with data to deepen their understanding of data cleaning as well as to upgrade their practical data cleaning skills. It can also be used as material for a course in data cleaning and analyses.