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Evaluation Criteria For Statistical Editing And Imputation
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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:
Book Synopsis Statistical Data Editing: Impact on data quality by : United Nations. Statistical Commission
Download or read book Statistical Data Editing: Impact on data quality written by United Nations. Statistical Commission and published by United Nations Publications. This book was released on 2006 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistical data editing written by and published by . This book was released on 2006 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Data Editing: Methods and techniques by : United Nations. Statistical Commission
Download or read book Statistical Data Editing: Methods and techniques written by United Nations. Statistical Commission and published by . This book was released on 1994 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author :United Nations. Statistical Commission Publisher :New York and Geneva : United Nations ISBN 13 : Total Pages :490 pages Book Rating :4.:/5 (319 download)
Book Synopsis Statistical Data Editing by : United Nations. Statistical Commission
Download or read book Statistical Data Editing written by United Nations. Statistical Commission and published by New York and Geneva : United Nations. This book was released on 1994 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Statistical Standards and Studies by :
Download or read book Statistical Standards and Studies written by and published by . This book was released on 1997 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309449138 Total Pages :37 pages Book Rating :4.3/5 (94 download)
Book Synopsis Review of Proposals for Research on Statistical Methodologies for Assessing Variables in Eyewitness Performance by : National Academies of Sciences, Engineering, and Medicine
Download or read book Review of Proposals for Research on Statistical Methodologies for Assessing Variables in Eyewitness Performance written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-01-01 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recognizing the importance of eyewitness identifications in courts of law and motivated by data showing that at least one erroneous eyewitness identification was associated with almost 75% of cases where defendants were later exonerated by DNA evidence, in 2013 the Laura and John Arnold Foundation asked the National Academy of Sciences to undertake an assessment of the scientific research on eyewitness identification and offer recommendations to improve eyewitness performance. The appointed committee issued its report, Identifying the Culprit: Assessing Eyewitness Identification, in 2014. In order to stimulate new and innovative research on statistical tools and the interrelationships between system and estimator variables, the Arnold Foundation in 2015 again called upon the National Academies. This report describes the development of the request for proposals, the processes followed by the committee as it evaluated the proposals, and the committee's assessment of the scientific merit and research design of the proposals.
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.
Book Synopsis Designing and Conducting Business Surveys by : Ger Snijkers
Download or read book Designing and Conducting Business Surveys written by Ger Snijkers and published by John Wiley & Sons. This book was released on 2013-08-05 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing and Conducting Business Surveys provides a coherent overview of the business survey process, from start to finish. It uniquely integrates an understanding of how businesses operate, a total survey error approach to data quality that focuses specifically on business surveys, and sound project management principles. The book brings together what is currently known about planning, designing, and conducting business surveys, with producing and disseminating statistics or other research results from the collected data. This knowledge draws upon a variety of disciplines such as survey methodology, organizational sciences, sociology, psychology, and statistical methods. The contents of the book formulate a comprehensive guide to scholarly material previously dispersed among books, journal articles, and conference papers. This book provides guidelines that will help the reader make educated trade-off decisions that minimize survey errors, costs, and response burden, while being attentive to survey data quality. Major topics include: • Determining the survey content, considering user needs, the business context, and total survey quality • Planning the survey as a project • Sampling frames, procedures, and methods • Questionnaire design and testing for self-administered paper, web, and mixed-mode surveys • Survey communication design to obtain responses and facilitate the business response process • Conducting and managing the survey using paradata and project management tools • Data processing, including capture, editing, and imputation, and dissemination of statistical outputs Designing and Conducting Business Surveys is an indispensable resource for anyone involved in designing and/or conducting business or organizational surveys at statistical institutes, central banks, survey organizations, etc.; producing statistics or other research results from business surveys at universities, research organizations, etc.; or using data produced from business surveys. The book also lays a foundation for new areas of research in business surveys.
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.
Book Synopsis Journal of the Royal Statistical Society by :
Download or read book Journal of the Royal Statistical Society written by and published by . This book was released on 2004 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Series A of the journal (Statistics in Society) is essentially a journal of general statistical interest. Publishes papers whose appeal lies in their subject-matter rather than their technical statistical contents. Medical, social, educational, legal, demographic and governmental issues are of particular concern.
Book Synopsis Data Analysis and Classification by : Francesco Palumbo
Download or read book Data Analysis and Classification written by Francesco Palumbo and published by Springer Science & Business Media. This book was released on 2010-03-14 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects.
Download or read book Journal of Official Statistics written by and published by . This book was released on 2011 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Business Statistics, Methods and Data Collection by : Ger Snijkers
Download or read book Advances in Business Statistics, Methods and Data Collection written by Ger Snijkers and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADVANCES IN BUSINESS STATISTICS, METHODS AND DATA COLLECTION Advances in Business Statistics, Methods and Data Collection delivers insights into the latest state of play in producing establishment statistics, obtained from businesses, farms and institutions. Presenting materials and reflecting discussions from the 6th International Conference on Establishment Statistics (ICES-VI), this edited volume provides a broad overview of methodology underlying current establishment statistics from every aspect of the production life cycle while spotlighting innovative and impactful advancements in the development, conduct, and evaluation of modern establishment statistics programs. Highlights include: Practical discussions on agile, timely, and accurate measurement of rapidly evolving economic phenomena such as globalization, new computer technologies, and the informal sector. Comprehensive explorations of administrative and new data sources and technologies, covering big (organic) data sources and methods for data integration, linking, machine learning and visualization. Detailed compilations of statistical programs’ responses to wide-ranging data collection and production challenges, among others caused by the Covid-19 pandemic. In-depth examinations of business survey questionnaire design, computerization, pretesting methods, experimentation, and paradata. Methodical presentations of conventional and emerging procedures in survey statistics techniques for establishment statistics, encompassing probability sampling designs and sample coordination, non-probability sampling, missing data treatments, small area estimation and Bayesian methods. Providing a broad overview of most up-to-date science, this book challenges the status quo and prepares researchers for current and future challenges in establishment statistics and methods. Perfect for survey researchers, government statisticians, National Bank employees, economists, and undergraduate and graduate students in survey research and economics, Advances in Business Statistics, Methods and Data Collection will also earn a place in the toolkit of researchers working –with data– in industries across a variety of fields.
Book Synopsis Technical Analysis for Algorithmic Pattern Recognition by : Prodromos E. Tsinaslanidis
Download or read book Technical Analysis for Algorithmic Pattern Recognition written by Prodromos E. Tsinaslanidis and published by Springer. This book was released on 2015-10-31 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an “economic test” of the weak-form Efficient Market Hypothesis (EMH) or by practitioners as a main or supplementary tool for deriving trading signals. This book approaches TA in a systematic way utilizing all the available estimation theory and tests. This is achieved through the developing of novel rule-based pattern recognizers, and the implementation of statistical tests for assessing the importance of realized returns. More emphasis is given to technical patterns where subjectivity in their identification process is apparent. Our proposed methodology is based on the algorithmic and thus unbiased pattern recognition. The unified methodological framework presented in this book can serve as a benchmark for both future academic studies that test the null hypothesis of the weak-form EMH and for practitioners that want to embed TA within their trading/investment decision making processes.
Book Synopsis Statistical Data Editing: Impact on data quality by : United Nations. Statistical Commission
Download or read book Statistical Data Editing: Impact on data quality written by United Nations. Statistical Commission and published by United Nations Publications. This book was released on 1994 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.