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Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches (Lecture Notes in Statistics, 168) - Softcover
Synopsis
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. Many traditional applications are known but information about these procedures is often difficult to achieve. The author proposes the use of multiple imputation (MI) techniques using informative prior distributions to overcome the conditional independence assumption. By means of MI sensitivity of the unconditional association of the variables not jointy observed can be displayed. An application of the alternative approaches with real world data concludes the book.
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Review
"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 2004
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Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches
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Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches (Lecture Notes in Statistics, 168)
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Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches (Lecture Notes in Statistics, 168)
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Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches (Lecture Notes in Statistics, 168)
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Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches
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Springer-Verlag New York Inc., 2002
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ISBN 13: 9780387955162
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Statistical Matching
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Springer New York, Chapman And Hall/CRC Aug 2002, 2002
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Many traditional applications are known but information about these procedures is often difficult to achieve. The author proposes the use of multiple imputation (MI) techniques using informative prior distributions to overcome the conditional independence assumption. By means of MI sensitivity of the unconditional association of the variables not jointy observed can be displayed. An application of the alternative approaches with real world data concludes the book. 264 pp. Englisch. Seller Inventory # 9780387955162
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Statistical Matching
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 intere. Seller Inventory # 5912577
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Statistical Matching
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Statistical Matching
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Statistical Matching
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Taschenbuch. Condition: Neu. Neuware -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. Many traditional applications are known but information about these procedures is often difficult to achieve. The author proposes the use of multiple imputation (MI) techniques using informative prior distributions to overcome the conditional independence assumption. By means of MI sensitivity of the unconditional association of the variables not jointy observed can be displayed. An application of the alternative approaches with real world data concludes the book.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. Seller Inventory # 9780387955162
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