Statistical Data Editing Impact On Data Quality

DOWNLOAD

Download Statistical Data Editing Impact On Data Quality PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Statistical Data Editing Impact On Data Quality book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Statistical Data Editing Impact On Data Quality

DOWNLOAD
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

DOWNLOAD
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 Methods And The Improvement Of Data Quality

DOWNLOAD
Author : Tommy Wright
language : en
Publisher: Academic Press
Release Date : 2014-05-10

Statistical Methods And The Improvement Of Data Quality written by Tommy Wright and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Reference categories.

Statistical Methods and the Improvement of Data Quality contains the proceedings of The Small Conference on the Improvement of the Quality of Data Collected by Data Collection Systems, held on November 11-12, 1982, in Oak Ridge, Tennessee. The conference provided a forum for discussing the use of statistical methods to improve data quality, with emphasis on the problems of data collection systems and how to handle them using state-of-the-art techniques. Comprised of 16 chapters, this volume begins with an overview of some of the limitations of surveys, followed by an annotated bibliography on frames from which the probability sample is selected. The reader is then introduced to sample designs and methods for collecting data over space and time; response effects to behavior and attitude questions; and how to develop and use error profiles. Subsequent chapters focus on principles and methods for handling outliers in data sets; influence functions, outlier detection, and data editing; and application of pattern recognition techniques to data analysis. The use of exploratory data analysis as an aid in modeling and statistical forecasting is also described. This monograph is likely to be of primary benefit to students taking a general course in survey sampling techniques, and to individuals and groups who deal with large data collection systems and are constantly seeking ways to improve the overall quality of their data.

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 Methods And Techniques

DOWNLOAD
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

DOWNLOAD
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

DOWNLOAD
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.

Oecd Glossary Of Statistical Terms

DOWNLOAD
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.

Survey Methodology And Missing Data

DOWNLOAD
Author : Seppo Laaksonen
language : en
Publisher: Springer
Release Date : 2018-07-05

Survey Methodology And Missing Data written by Seppo Laaksonen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-05 with Social Science categories.

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.

Data Quality Control

DOWNLOAD
Author : Gunar E. Liepins
language : en
Publisher: CRC Press
Release Date : 1990-09-28

Data Quality Control written by Gunar E. Liepins and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-09-28 with Mathematics categories.

Contains 16 papers that emerged from the Survey Data Quality Control Workshop in Oak Ridge, Tennessee, April 1988. The volume is based on two premises: many useful data quality control practices have gone undocumented, and would benefit the quality control community; and better interaction among the