Abstract
In this paper we firstly present the so far known result of the distribution of the number of inversions in the sequence of random variables. We say for the sequence \( (X_{1} , X_{2} , \ldots , X_{n} ) \) the inversion is given for i, j and \( X_{i} \), \( X_{j} \) when \( i < j \) and \( X_{i} > X_{j} \). Under independence we show the exact distribution of the number of inversions in the permutation (equivalent to τ- Kendall distribution). The difference is in normalizing constants. Considering inversions is more convenient. The aim of this paper is to provide the exact distribution respectively for the dependence case.
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References
Bukietyńska A: Kombinatoryczny test inwersji, Metody Ilosciowe w ekonomii, WSB Poznan, pp. 152162, (2008)
David, F.N., Kendall, M.G., Barton, D.E.: Symmetric Function and Allied Tables, p. 241. Cambridge (1966)
Feller, W.: An Introduction to Probability Theory and its Application. Wiley, New York, London (1961)
Ferguson, S., Genest, Ch., Hallin, M.: Kendall’s tau for autocorrelation. Can. J. Stat. 28, 587–604 (2000)
Ferguson, S., Genest, Ch., Hallin, M.: Kendall’s tau for autocorrelation. Dep. Stat. Pap., UCLA (2011)
Hallin, M., Metard, G.: Rank–based test for randomness against first order dependence. J. Am. Stat. Assoc. 83, 1117–1128 (1988)
Janjic, M.: A generating function for numbers of insets. J. Integer Seq. 17 #14.9.7 (2014)
Kendall, M.G., Buckland, W.R.: A Dictionary of Statistical Terms. OLIVER AND BOYD, Edinburgh, London (1960)
Netto E.: Lehrbuch der Combinatorik. 2nd ed., Teubner, Leipzig, p. 96. (1927)
The On-Line Encyclopedia of Integer Sequences, sequence A008302
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Czekala, M., Bukietyńska, A. (2017). Distribution of Inversions and the Power of the τ- Kendall’s Test. In: Świątek, J., Wilimowska, Z., Borzemski, L., Grzech, A. (eds) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part III. Advances in Intelligent Systems and Computing, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-319-46589-0_14
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DOI: https://doi.org/10.1007/978-3-319-46589-0_14
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