A Multiple-Testing Approach to the Multivariate Behrens-Fisher ProblemIntroduction
A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem: Introduction
Desai, Tejas
2013-01-29 00:00:00
[In this chapter, we give a brief introduction to the Behrens–Fisher problem. An outline of the rest of the chapters is also provided. Since randomly incomplete data is considered in the rest of the chapters, we thereafter clarify the idea of “missing at random (MAR)” and “missing completely at random (MCAR).” In particular, we demonstrate that if variables in a data set are all mutually dependent, then an assumption of MAR is equivalent to the assumption of MCAR.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/a-multiple-testing-approach-to-the-multivariate-behrens-fisher-problem-mCVBW00GuD
A Multiple-Testing Approach to the Multivariate Behrens-Fisher ProblemIntroduction
[In this chapter, we give a brief introduction to the Behrens–Fisher problem. An outline of the rest of the chapters is also provided. Since randomly incomplete data is considered in the rest of the chapters, we thereafter clarify the idea of “missing at random (MAR)” and “missing completely at random (MCAR).” In particular, we demonstrate that if variables in a data set are all mutually dependent, then an assumption of MAR is equivalent to the assumption of MCAR.]
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