Last edited by Keshicage
Thursday, May 14, 2020 | History

7 edition of Statistical Matching found in the catalog.

Statistical Matching

by Susanne Rässler

  • 359 Want to read
  • 33 Currently reading

Published by Springer .
Written in English


The Physical Object
Number of Pages240
ID Numbers
Open LibraryOL7448982M
ISBN 10038795516X
ISBN 109780387955162

Verena Puchner evaluates and compares statistical matching and selected SAE methods. Due to the fact that poverty estimation at regional level based on EU-SILC samples is not of adequate accuracy, the quality of the estimations should be improved by additionally incorporating micro census data. Stefano M. Iacus, Gary King, and Giuseppe Porro. “A Theory of Statistical Inference for Matching Methods in Causal Research.” Political Analysis, 27, 1, Pp. Cited by:

Pattern recognition is the automated recognition of patterns and regularities in has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine n recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use. The authors also have a book in Wiley but I find it quite hard to read. Your matching problem sounds like a typical one, it sounds have enough information to do something interesting. Take into account that your historical data can be used as 'auxiliary information' -statistical matching terminology-$\endgroup$ – Ines May 13 '14 at

Verena Puchner evaluates and compares statistical matching and selected SAE methods. Due to the fact that poverty estimation at regional level based on EU-SILC samples is not of adequate accuracy, the quality of the estimations should be improved by additionally incorporating micro census data. The. The observations that come from within the same block have a natural matching mechanism. The data from a randomized block design can be described by a linear model that suggests the partitioning of the sum of squares and provides a justification for the test statistics. Statistical Methods, The book includes research projects, real.


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Statistical Matching by Susanne Rässler Download PDF EPUB FB2

"Those interested in statistical matching will find this book very useful." (Technometrics, August ) "My compliments to the authors Statistical Matching book making these (seemingly) arcane ideas available to a whole new generation of statisticians and economists."Journal of the American Statistical Association.

Statistical Matching: Theory and Practice (Wiley Series in Survey Methodology Book ) - Kindle edition by D'Orazio, Marcello, Di Zio, Marco, Scanu, Mauro. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Statistical Matching: Theory and Practice (Wiley Series in Survey Methodology Book ).Price: $ 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 (also known as data fusion, data merging or synthetic matching) is a model-based approach for providing joint information on variables and indicators collected through multiple sources (surveys drawn from the same population).

The potential benefits of this approach lie in the possibility to enhance the complementary. Matching is a statistical technique which is used to evaluate the effect of a treatment Statistical Matching book comparing the treated and the non-treated units in an observational study or quasi-experiment (i.e.

when the treatment is not randomly assigned). The goal of matching is, for every treated unit, to find one (or more) non-treated unit(s) with similar observable characteristics against whom the effect of.

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 Cited by: "Statistical matching is one of the methods for the imputation of missing results from survey sampling This book is totally focused on methods, applications, and results.

It devotes little space to the presentation and derivation of various theorems." Technometrics, May Brand: Springer-Verlag New York.

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 Price: $ Get this from a library.

Statistical matching: theory and practice. [Marcello D'Orazio; Marco Di Zio; Mauro Scanu] -- "There is more statistical data produced in today's modern society than ever before. This data is analysed and cross-referenced for innumerable reasons.

The Statistical Framework. The Missing Data Mechanism in the Statistical Matching Problem. Accuracy of a Statistical Matching Procedure. Model assumptions. Accuracy of the estimator. Representativeness of the synthetic file.

Accuracy of estimators applied on the synthetic data set. Outline of the Book. 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.

matical-statistical framework of the statistical matching problem are given, together with examples. One of the objectives of this book is to give a complete, formalized treatment of the statistical matching procedures which have been defined or applied hitherto. More precisely, the data sets will always be samples generated by appro-File Size: KB.

A book about statistical matching will be of interest to researchers and practitioners in many data analysis areas, starting with data collection and the production of public use micro files, data banks, and data bases. 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 es a detailed description. Vantaggi B () Statistical matching of multiple sources, International Journal of Approximate Reasoning,(), Online publication date: 1-Nov Save to Binder Create a New Binder. Data fusion or statistical file matching techniques merge data sets from different survey samples to solve the problem that exists when no single file contains all the variables of interest.

Media agencies are merging television and purchasing data, statistical offices match tax information with income surveys. Constrained and Unconstraine d Statistical Matching There are at least two types of statistical matching, constrained and unconstrained, which have rather different properties.

In unconstrained matching, the record in the B file is matched to a record in the A file such. This book is dynamite: George E. Box, Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building It starts from zero knowledge of Statistics but it doesn't insult the reader's intelligence.

It's incredibly practical but with no loss of rigour; in fact, it underscores the danger of ignoring underlying assumptions (which are often false in real life) of common. (). Statistical Matching: Theory and Practice. Journal of the American Statistical Association: Vol.No.pp.

Author: Fritz Scheuren. Statistical matching is a technique increasingly being applied in order to combine information from different data sources where no linkage can be made between records based on any unique identifier.

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Invited Addresses; Invited Paper.If they are different, what paper/book can I read to find out what the L1 statistic is, what it is used for and how to calculate it. I also have no idea what statistical matching is.

To get a general idea of how Coarsened Exact Matching differs from regular matching, I did a little searching and I found this paper (Statistical Matching and.Statistical Matching techniques are recognized as suitable for data integration.

• In this research it was thus possible to cross data from different datasets. • Homogeneous groups of families with sundry levels of social weakness were found.