Abstract
Two discrete random variables, ξ and η are considered. The goal is to decide whether \(\eta \) is a function of ξ. A series of tests are performed, \((\xi _{i},\eta _{i}),1\,\leq \,i\,\leq \,m\), are independent experiences with the same distribution as \((\xi ,\eta )\). The hypothesis is declined if \(\xi _{i} = \xi _{j},\eta _{i}\neq \eta _{j}\) holds for some \(i\neq j\). A condition is given on the character of convergence of the joint distribution of ξ and η ensuring the rejection of the hypothesis with a given limiting probability p.
Mathematics Subject Classification (2010): 60F99
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References
Demetrovics, J., Katona, G.O.H., Miklós, D., Seleznjev, O., Thalheim, B.: Asymptotic properties of keys and functional dependencies in random databases. Theor. Comput. Sci. 190, 151–166 (1998)
Demetrovics, J., Katona, G.O.H., Miklós, D., Seleznjev, O., Thalheim, B.: Functional dependencies in random databases. Studia Sci. Math. Hungar. 34, 127–140 (1998)
Mikhailov, V.G., Selivanov, B.I.: On some statistics in a scheme of particles allocation in cells of a two-dimensional table, in: Tr. Diskr. Mat., vol. 4, pp. 169–176. Fizmatlit, Moscow (2001)
Rényi Alfréd: Some fundamental questions of information theory (in Hungarian). MTA III Oszt. Közl. 10, 251–282 (1960)
Rényi Alfréd: On measures of information and entropy. In: Proceedings of the 4th Berkeley Symposium on Mathematics, Statistics and Probability, 1960, pp. 547–561, Berkeley, California, US (1961)
Seleznjev, O., Thalheim, B.: Average case analysis in database problems. Methodol. Comput. Appl. Probab. 5(4), 395–418 (2003)
Seleznjev, O., Thalheim, B.: Random databases with approximate record matching. Methodol. Comput. Appl. Probab. 12(1), 63–89 (2010)
Selivanov, B.I.: On a generalization of the classical allocation problem. Teor. Veroyatnost. i Primenen. 43(2), 315–330 (1998)
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We are indebted to the anonymous referee for pointing out the weaknesses of the first version of the paper.
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Katona, G.O.H. (2013). Testing Functional Connection between Two Random Variables. In: Shiryaev, A., Varadhan, S., Presman, E. (eds) Prokhorov and Contemporary Probability Theory. Springer Proceedings in Mathematics & Statistics, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33549-5_20
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DOI: https://doi.org/10.1007/978-3-642-33549-5_20
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