Statistical Matching

Author : Marcello D'Orazio,Marco Di Zio,Mauro Scanu
Publisher : John Wiley & Sons
Page : 268 pages
File Size : 51,9 Mb
Release : 2006-03-30
Category : Mathematics
ISBN : 9780470023549

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Statistical Matching by Marcello D'Orazio,Marco Di Zio,Mauro Scanu Pdf

There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of their practical applications. Presents a unified framework for both theoretical and practical aspects of statistical matching. Provides a detailed description covering all the steps needed to perform statistical matching. Contains a critical overview of the available statistical matching methods. Discusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty. Includes numerous examples and applications, enabling the reader to apply the methods in their own work. Features an appendix detailing algorithms written in the R language. Statistical Matching: Theory and Practice presents a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.

Author : Susanne Rässler
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 45,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461300533

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Statistical Matching by Susanne Rässler Pdf

Government policy questions and media planning tasks may be answered by this data set. It covers a wide range of different aspects of statistical matching that in Europe typically is called data fusion. A book about statistical matching will be of interest to researchers and practitioners, starting with data collection and the production of public use micro files, data banks, and data bases. People in the areas of database marketing, public health analysis, socioeconomic modeling, and official statistics will find it useful.

Author : Prem K. Goel,Thirugnanasambandam Ramalingam
Publisher : Springer Science & Business Media
Page : 163 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461236429

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The Matching Methodology: Some Statistical Properties by Prem K. Goel,Thirugnanasambandam Ramalingam Pdf

Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers. One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful.

Author : Susanne R Ssler
Publisher : Unknown
Page : 264 pages
File Size : 42,8 Mb
Release : 2011-04-01
Category : Electronic
ISBN : 1461300541

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Statistical Matching by Susanne R Ssler Pdf

Author : Anonim
Publisher : Unknown
Page : 36 pages
File Size : 50,7 Mb
Release : 1981
Category : United States
ISBN : PSU:000070974300

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Statistical Reporter by Anonim Pdf

Author : United States. Office of Federal Statistical Policy and Standards
Publisher : Unknown
Page : 564 pages
File Size : 42,6 Mb
Release : 1980
Category : Commerce
ISBN : UOM:39015086924134

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Statistical Reporter by United States. Office of Federal Statistical Policy and Standards Pdf

Author : United States. Office of Management and Budget. Statistical Policy Division
Publisher : Unknown
Page : 1042 pages
File Size : 45,5 Mb
Release : 1979
Category : United States
ISBN : UIUC:30112005644908

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Report to Federal Statistical Agencies by United States. Office of Management and Budget. Statistical Policy Division Pdf

Author : Jae Kwang Kim,Jun Shao
Publisher : CRC Press
Page : 225 pages
File Size : 52,6 Mb
Release : 2013-07-23
Category : Mathematics
ISBN : 9781439849637

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Statistical Methods for Handling Incomplete Data by Jae Kwang Kim,Jun Shao Pdf

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. Suitable for graduate students and researchers in statistics, the book presents thorough treatments of: Statistical theories of likelihood-based inference with missing data Computational techniques and theories on imputation Methods involving propensity score weighting, nonignorable missing data, longitudinal missing data, survey sampling, and statistical matching Assuming prior experience with statistical theory and linear models, the text uses the frequentist framework with less emphasis on Bayesian methods and nonparametric methods. It includes many examples to help readers understand the methodologies. Some of the research ideas introduced can be developed further for specific applications.

Author : Shenyang Guo,Mark W. Fraser
Publisher : SAGE
Page : 449 pages
File Size : 49,6 Mb
Release : 2015
Category : Mathematics
ISBN : 9781452235004

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Propensity Score Analysis by Shenyang Guo,Mark W. Fraser Pdf

Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.

Author : Daniel Radner
Publisher : Unknown
Page : 136 pages
File Size : 46,7 Mb
Release : 1982
Category : Households
ISBN : UOM:39015015286290

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The Construction of the 1972 Statistical Match File by Daniel Radner Pdf

Author : Peter Van Der Puttan
Publisher : Hardpress Publishing
Page : 36 pages
File Size : 55,7 Mb
Release : 2013-12
Category : Electronic
ISBN : 1314868853

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Data Fusion Through Statistical Matching... by Peter Van Der Puttan Pdf

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Author : United States. Office of Management and Budget
Publisher : Unknown
Page : 404 pages
File Size : 50,5 Mb
Release : 1975
Category : Statistics
ISBN : UCSC:32106019243580

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Statistical Reporter by United States. Office of Management and Budget Pdf

Author : Peter Van Der Puttan,Sloan School of Management,Joost N Kok
Publisher : Franklin Classics
Page : 28 pages
File Size : 47,6 Mb
Release : 2018-10-15
Category : Electronic
ISBN : 034317491X

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Data Fusion Through Statistical Matching by Peter Van Der Puttan,Sloan School of Management,Joost N Kok Pdf

This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Author : Anonim
Publisher : John Wiley & Sons
Page : 2163 pages
File Size : 41,5 Mb
Release : 2008-09-02
Category : Mathematics
ISBN : 9780470035498

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Encyclopedia of Quantitative Risk Analysis and Assessment by Anonim Pdf

Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.

Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods
Publisher : National Academies Press
Page : 195 pages
File Size : 53,8 Mb
Release : 2018-01-27
Category : Social Science
ISBN : 9780309465373

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Federal Statistics, Multiple Data Sources, and Privacy Protection by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods Pdf

The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.