£114.21

Springer Statistical Matching - Lecture Notes in Statistics 168

Name: Springer Statistical Matching - Lecture Notes in Statistics 168
Brand: Springer
Price: 114.21 GBP
Availability: InStock

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Description

Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches provides essential insights into data fusion and statistical file matching. This volume addresses the common challenge where no single data file contains all necessary variables of interest. By examining how media agencies merge television and purchasing data, or how statistical offices match tax information with income surveys, this book offers practical solutions for complex data integration. The text explores methods to overcome the conditional independence assumption by proposing the use of multiple imputation (MI) techniques. Using informative prior distributions, the author provides a framework for more accurate data merging. This resource is designed for professionals and researchers needing to navigate the difficulties of traditional statistical matching procedures through modern, effective methodologies.

Key Features

Explores data fusion and statistical file matching techniques to merge datasets from different survey samples.

Addresses real-world applications such as merging television and purchasing data or matching tax information with income surveys.

Provides solutions for scenarios where no single data file contains all variables of interest.

Proposes multiple imputation (MI) techniques to help overcome the conditional independence assumption.

Utilizes informative prior distributions to improve the accuracy of statistical matching procedures.

Part of the Lecture Notes in Statistics series, volume 168, published by Springer.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 038795516X
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners
Domain: Amazon UK
Publication Date: 21 August 2002
Listed Since: 12 January 2007

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Springer Statistical Matching - Lecture Notes in Statistics 168

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