Abstract
The quality of the linear discrimination procedure is usually determined by functionals which can be expressed in terms of the conditional expectation and variance of the discriminant function under chosen samples. In this chapter we investigate these random values depending on unknown parameters and our purpose is to find their expectation values and suggest their estimators. In order to separate results from details of derivations, we first set the discriminant problem, formulate results, and discuss conclusions. Then we present proofs.
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© 2000 Springer Science+Business Media New York
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Serdobolskii, V. (2000). Population Free Quality of Linear Discrimination. In: Multivariate Statistical Analysis. Theory and Decision Library, vol 41. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9468-4_11
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DOI: https://doi.org/10.1007/978-94-015-9468-4_11
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5593-4
Online ISBN: 978-94-015-9468-4
eBook Packages: Springer Book Archive