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Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches (Lecture Notes in Statistics)
Susanne Rässler
€ 185.48
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Description for Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches (Lecture Notes in Statistics)
Paperback. Government policy questions and media planning tasks may be answered by this data set. This title covers a range of different aspects of statistical matching that in Europe typically is called data fusion. It is suitable for researchers and practitioners, starting with data collection and the production of public use micro files. Series: Lecture Notes in Statistics. Num Pages: 264 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 163 x 14. Weight in Grams: 372.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer
Format
Paperback
Publication date
2002
Series
Lecture Notes in Statistics
Condition
New
Weight
371g
Number of Pages
264
Place of Publication
New York, NY, United States
ISBN
9780387955162
SKU
V9780387955162
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches (Lecture Notes in Statistics)
"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