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Springer Statistical Matching: A Frequentist Theory & Bayesian Approaches
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Description
Key Features
Covers frequentist theory and practical applications of statistical matching across multiple disciplines and real-world scenarios.
Introduces multiple imputation techniques using informative prior distributions as solutions to conditional independence problems.
Volume 168 in the Lecture Notes in Statistics series, providing academic rigour and peer-reviewed content from Springer.
Addresses data fusion challenges faced by media agencies, statistical offices, and survey research organisations.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 038795516X
- Domain
- Amazon UK
- Publication Date
- 21 August 2002
- Listed Since
- 12 January 2007
Barcode
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