Handbook Of Statistical Data Editing And Imputation

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Handbook of Statistical Data Editing and Imputation

Author : Ton de Waal
Publisher : John Wiley & Sons
ISBN 13 : 0470542802
Total Pages : 464 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Handbook of Statistical Data Editing and Imputation by : Ton de Waal

Download or read book Handbook of Statistical Data Editing and Imputation written by Ton de Waal and published by John Wiley & Sons. This book was released on 2011-03-22 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Statistical Data Editing and Imputation

Author : Ton de Waal
Publisher : John Wiley & Sons
ISBN 13 : 0470904836
Total Pages : 453 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Handbook of Statistical Data Editing and Imputation by : Ton de Waal

Download or read book Handbook of Statistical Data Editing and Imputation written by Ton de Waal and published by John Wiley & Sons. This book was released on 2011-03-04 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and Imputation of Economic Data: an Introduction

Author : Caren Tempelman
Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Statistical Data Editing and Imputation of Economic Data: an Introduction by : Caren Tempelman

Download or read book Statistical Data Editing and Imputation of Economic Data: an Introduction written by Caren Tempelman and published by . This book was released on 2003 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Data Editing: Methods and techniques

Author :
Publisher :
ISBN 13 :
Total Pages : 234 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Data Editing: Methods and techniques by :

Download or read book Statistical Data Editing: Methods and techniques written by and published by . This book was released on 1994 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Missing Data Methodology

Author : Geert Molenberghs
Publisher : CRC Press
ISBN 13 : 1439854629
Total Pages : 590 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Handbook of Missing Data Methodology by : Geert Molenberghs

Download or read book Handbook of Missing Data Methodology written by Geert Molenberghs and published by CRC Press. This book was released on 2014-11-06 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and t

SLICE: a Software Framework for Statistical Data Editing and Imputation

Author : Ton de Waal
Publisher :
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4.:/5 (672 download)

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Book Synopsis SLICE: a Software Framework for Statistical Data Editing and Imputation by : Ton de Waal

Download or read book SLICE: a Software Framework for Statistical Data Editing and Imputation written by Ton de Waal and published by . This book was released on 2000 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Data Cleaning with Applications in R

Author : Mark van der Loo
Publisher : John Wiley & Sons
ISBN 13 : 1118897145
Total Pages : 318 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Statistical Data Cleaning with Applications in R by : Mark van der Loo

Download or read book Statistical Data Cleaning with Applications in R written by Mark van der Loo and published by John Wiley & Sons. This book was released on 2018-01-29 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Survey Methodology and Missing Data

Author : Seppo Laaksonen
Publisher : Springer
ISBN 13 : 3319790110
Total Pages : 224 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Survey Methodology and Missing Data by : Seppo Laaksonen

Download or read book Survey Methodology and Missing Data written by Seppo Laaksonen and published by Springer. This book was released on 2018-07-05 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.

Flexible Imputation of Missing Data, Second Edition

Author : Stef van Buuren
Publisher : CRC Press
ISBN 13 : 0429960344
Total Pages : 329 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Flexible Imputation of Missing Data, Second Edition by : Stef van Buuren

Download or read book Flexible Imputation of Missing Data, Second Edition written by Stef van Buuren and published by CRC Press. This book was released on 2018-07-17 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem. This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field. This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data.

Handbook on Population and Housing Census Editing

Author : United Nations. Statistical Division
Publisher : United Nations Publications
ISBN 13 :
Total Pages : 146 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Handbook on Population and Housing Census Editing by : United Nations. Statistical Division

Download or read book Handbook on Population and Housing Census Editing written by United Nations. Statistical Division and published by United Nations Publications. This book was released on 2001 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication provides an overview of census and survey data editing methodology. It reviews the advantages and disadvantages of manual and computer-assisted editing, and presents, in detail, procedures and techniques for editing census data at various stages of processing. Technical considerations, particularly those pertinent to programming, are covered in the annexes.

Administrative Records for Survey Methodology

Author : Asaph Young Chun
Publisher : John Wiley & Sons
ISBN 13 : 111927205X
Total Pages : 384 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Administrative Records for Survey Methodology by : Asaph Young Chun

Download or read book Administrative Records for Survey Methodology written by Asaph Young Chun and published by John Wiley & Sons. This book was released on 2021-02-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.

Flexible Imputation of Missing Data

Author : Stef van Buuren
Publisher : CRC Press
ISBN 13 : 1439868255
Total Pages : 326 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Flexible Imputation of Missing Data by : Stef van Buuren

Download or read book Flexible Imputation of Missing Data written by Stef van Buuren and published by CRC Press. This book was released on 2012-03-29 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which are missing data problems in disguise. Flexible Imputation of Missing Data is supported by many examples using real data taken from the author's vast experience of collaborative research, and presents a practical guide for handling missing data under the framework of multiple imputation. Furthermore, detailed guidance of implementation in R using the author’s package MICE is included throughout the book. Assuming familiarity with basic statistical concepts and multivariate methods, Flexible Imputation of Missing Data is intended for two audiences: (Bio)statisticians, epidemiologists, and methodologists in the social and health sciences Substantive researchers who do not call themselves statisticians, but who possess the necessary skills to understand the principles and to follow the recipes This graduate-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by a verbal statement that explains the formula in layperson terms. Readers less concerned with the theoretical underpinnings will be able to pick up the general idea, and technical material is available for those who desire deeper understanding. The analyses can be replicated in R using a dedicated package developed by the author.

Evaluation Criteria for Statistical Editing and Imputation

Author : Ray L. Chambers
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Evaluation Criteria for Statistical Editing and Imputation by : Ray L. Chambers

Download or read book Evaluation Criteria for Statistical Editing and Imputation written by Ray L. Chambers and published by . This book was released on 2001 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Unit Problem and Other Current Topics in Business Survey Methodology

Author : Mojca Bavdaž
Publisher : Cambridge Scholars Publishing
ISBN 13 : 1527521087
Total Pages : 298 pages
Book Rating : 4.5/5 (275 download)

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Book Synopsis The Unit Problem and Other Current Topics in Business Survey Methodology by : Mojca Bavdaž

Download or read book The Unit Problem and Other Current Topics in Business Survey Methodology written by Mojca Bavdaž and published by Cambridge Scholars Publishing. This book was released on 2018-11-07 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume brings together a selection of papers presented at the 2017 European Establishment Statistics Workshop, which have been revised and expanded here. Several contributions will serve to deepen the reader’s understanding of the unit problem in business statistics, while further chapters showcase recent advances in business survey methodology and practice in areas such as linking and data integration, sampling and estimation, data collection from businesses, measurement and mitigation of response burden in business surveys, among others. Written by leading experts in business statistics, the volume offers detailed and up-to-date findings to survey methodologists and practitioners working with business statistics. It will also be useful for readers in official statistics, academia and the private sector.

SLICE: Generalised Software for Statistical Data Editing and Imputation

Author : Ton de Waal
Publisher :
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4.:/5 (677 download)

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Book Synopsis SLICE: Generalised Software for Statistical Data Editing and Imputation by : Ton de Waal

Download or read book SLICE: Generalised Software for Statistical Data Editing and Imputation written by Ton de Waal and published by . This book was released on 2000 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Analysis with Missing Data

Author : Roderick J. A. Little
Publisher : John Wiley & Sons
ISBN 13 : 1118595696
Total Pages : 463 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Statistical Analysis with Missing Data by : Roderick J. A. Little

Download or read book Statistical Analysis with Missing Data written by Roderick J. A. Little and published by John Wiley & Sons. This book was released on 2019-03-21 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date, comprehensive treatment of a classic text on missing data in statistics The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems. Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. An updated “classic” written by renowned authorities on the subject Features over 150 exercises (including many new ones) Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods Revises previous topics based on past student feedback and class experience Contains an updated and expanded bibliography The authors were awarded The Karl Pearson Prize in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work "has been no less than defining and transforming." (ISI) Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.

Administrative Records for Survey Methodology

Author : Asaph Young Chun
Publisher : John Wiley & Sons
ISBN 13 : 1119272041
Total Pages : 384 pages
Book Rating : 4.1/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Administrative Records for Survey Methodology by : Asaph Young Chun

Download or read book Administrative Records for Survey Methodology written by Asaph Young Chun and published by John Wiley & Sons. This book was released on 2021-04-06 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.