Abstract
For words of length n, generated by independent geometric random variables, we consider the mean and variance, and thereafter the distribution of the number of runs of equal letters in the words. In addition, we consider the mean length of a run as well as the length of the longest run over all words of length n. © Springer-Verlag Berlin Heidelberg 2000.
Cite
CITATION STYLE
Grabner, P. J., Knopfmacher, A., & Prodinger, H. (2000). Run statistics for geometrically distributed random variables. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1776 LNCS, pp. 457–462). https://doi.org/10.1007/10719839_45
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