Titlebook: Statistical Matching; A Frequentist Theory Susanne Rässler Book 2002 Springer Science+Business Media New York 2002 Area.Erlang.Fusion.Outlo

连结

书目名称Statistical Matching影响因子(影响力)




书目名称Statistical Matching影响因子(影响力)学科排名




书目名称Statistical Matching网络公开度




书目名称Statistical Matching网络公开度学科排名




书目名称Statistical Matching被引频次




书目名称Statistical Matching被引频次学科排名




书目名称Statistical Matching年度引用




书目名称Statistical Matching年度引用学科排名




书目名称Statistical Matching读者反馈




书目名称Statistical Matching读者反馈学科排名

运气

https://doi.org/10.1007/978-1-4613-0053-3Area; Erlang; Fusion; Outlook; Simula; data analysis; database; distribution; evaluation; history of mathemat

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MAUVE

Frequentist Theory of Statistical Matching,. In particular, the associations between variables never jointly observed are specified in such a completed data set. In this chapter we show whether a statistically matched file may be analyzed as if it were a single sample.

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Mechanics

Synopsis and Outlook,arate files. We show that the validity of the traditional matching techniques concerning the preservation of the true association of the variables never jointly observed depends on the explanatory power of the common variables. Following an approach published by Rubin (1987) we propose the use of mu

障碍

Introduction,ractical statisticians about the power of matching techniques. This is reported, e.g., by Moriarity and Scheuren (2001), Judkins (1998), Gabler (1997), Bennike (1987), Rodgers (1984), Woodbury (1983), and Sims (1972a and b). On the other hand, famous statistical offices such as Statistics Canada as

Arbitrary

Frequentist Theory of Statistical Matching,. In particular, the associations between variables never jointly observed are specified in such a completed data set. In this chapter we show whether a statistically matched file may be analyzed as if it were a single sample.

Seminar

Practical Applications of Statistical Matching,ften they are difficult to obtain if available at all. Most of the reports or articles published are less theoretical; details about the final matching algorithms are often best explained in private talks or at conferences. No comprehensive work addressing new and recently used matching techniques i