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Titlebook: Simultaneous Statistical Inference; Rupert G. Miller Book 1981Latest edition Springer-Verlag New York Inc. and McGraw-Hill, Inc. 1981 ANOV

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Nonparametric Techniques,This chapter covers those simultaneous techniques whose test statistics have a null distribution which does not depend on the form of the underlying distribution generating the sample observations. A few restrictions are usually placed on the underlying sample distribution, but they are minor in character.
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Multivariate Techniques,A preponderance of the work on multivariate simultaneous confidence intervals and tests is contained in two articles: Roy and Bose (1953) and Dunn (1958). The remaining material appears in Roy (1954,1956), Seheffé (1956,1959), Healy (1956), and Anderson (1965). A summary of the work of Roy and Bose is given in Roy (1957).
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Miscellaneous Techniques,This chapter groups together a variety of techniques whose discussions are too short to constitute separate chapters. For the most part the techniques are unrelated, hence the title of this chapter.
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978-1-4613-8124-2Springer-Verlag New York Inc. and McGraw-Hill, Inc. 1981
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Book 1981Latest editionished in Biometrika in 1971 by G. 1. Hahn and R. W. Hendrickson, which is far more comprehensive and therefore more useful. The typing was ably handled by Wanda Edminster for the review article and Karola Decleve for the changes for the second edition. My wife, Barbara, again cheerfully assisted in
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https://doi.org/10.1007/b101824 segmentation is foreground/background segmentation based on user specified brush labellings. The problem can be formulated within the binary Markov Random Field (MRF) framework which can be solved efficiently via graph cut [1]. However, no attempt has yet been made to handle segmentation of multipl
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