
단행본
Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches
- 발행사항
- New York : Springer, 2002
- 형태사항
- xviii, 238 p. : ill ; 24cm
- 총서사항
- Lecture notes in statistics ; 168
- 서지주기
- Includes bibliographical references and index
소장정보
위치 | 등록번호 | 청구기호 / 출력 | 상태 | 반납예정일 |
---|---|---|---|---|
지금 이용 불가 (1) | ||||
자료실 | E206414 | 대출중 | 2023.06.07 |
지금 이용 불가 (1)
- 등록번호
- E206414
- 상태/반납예정일
- 대출중
- 2023.06.07
- 위치/청구기호(출력)
- 자료실
책 소개
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 interest to researchers and practitioners, starting with data collection and the production of public use micro files, data banks, and data bases. People in the areas of database marketing, public health analysis, socioeconomic modeling, and official statistics will find it useful.
Statistically matching of separate survey samples - can this be efficient? When there is no single source file available about all the information of interest, techniques of matching different data sets are often applied. Then individual respondents on one survey are matched to those on another based on some common characteristics. The respondents in the resulting data set will have all the answers to all the questions in both original surveys. For example, government policy questions as well as media planning tasks may be answered by means of such a statistically matched data set. This book covers a wide range of different aspects concerning statistical matching that in Europe typically is called data fusion. A theoretical framework is derived to determine the advantages and disadvantages of statistical matching. Its history and practical applications are discussed, and alternative approaches are proposed and evaluated with real world marketing data. Answers to the question of efficiency are provided. 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. People in the areas of database marketing, public health analysis, socioeconomic modeling, and also official statistics also will find it useful. Susanne Rassler is senior research assistant and lecturer at the Institute of Statistics and Econometrics at the University of Erlangen-Nurnberg in Germany. She received her Ph.D. in 1995, having written a book about survey sampling theory with the focus on sampling with unequal probabilities. Later she started research about statistical matching. This book is the result of her "habilitation" thesis according to German academic tradition.
목차
Introduction
Frequentist Theory of Statistical Matching
Practical Applications of Statistical Matching
Alternative Approaches to Statistical Matching
Empirical Evaluation of Alternative Approaches
Synopsis and Outlook