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Normal Univariate Techniques

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Simultaneous Statistical Inference

Part of the book series: Springer Series in Statistics ((SSS))

Abstract

This chapter contains a number of multisample and regression techniques whose distribution theory assumes an underlying normal distribution. It includes, in particular, the fundamental work of Duncan, Seheffé, and Tukey. Those techniques which are peculiar primarily to regression (e.g., prediction and discrimination) are discussed in Chapter 3, even though they are directly related, and in some instances special cases of the methods in this chapter. The nonparametric analogs of the techniques in this chapter are covered in Chapter 4.

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© 1981 Springer-Verlag New York Inc. and McGraw-Hill, Inc.

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Miller, R.G. (1981). Normal Univariate Techniques. In: Simultaneous Statistical Inference. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8122-8_2

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  • DOI: https://doi.org/10.1007/978-1-4613-8122-8_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-8124-2

  • Online ISBN: 978-1-4613-8122-8

  • eBook Packages: Springer Book Archive

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