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The Cuboid as Parameter Space

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Part of the book series: Lecture Notes in Statistics ((LNS,volume 64))

Abstract

In this chapter we consider the cuboid

$$\otimes = \left\{ {\theta \in \mathbb{R}^N :0 \leqslant y_\text{i} \leqslant x_i \,;\,i = 1, \ldots N} \right\}$$

as parameter space, where the xi’s are known positive real numbers. Typical situations for θ are given if xi denotes the numbers of secondary units in the i- th primary unit. For example, let xi be the size of household i and yi the number of its members who are struck with a certain disease. Frequently all xi are equal. In a test it is possible to obtain 0,1,…,40 points. yi then would be the number of points which the i- th participant of the test obtains.

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© 1990 Springer-Verlag Berlin Heidelberg

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Gabler, S. (1990). The Cuboid as Parameter Space. In: Minimax Solutions in Sampling from Finite Populations. Lecture Notes in Statistics, vol 64. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3442-5_3

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  • DOI: https://doi.org/10.1007/978-1-4612-3442-5_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97358-6

  • Online ISBN: 978-1-4612-3442-5

  • eBook Packages: Springer Book Archive

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