Abstract
It can be argued that in practice the number of available observations is random and perhaps dependent on the same random phenomenon. In the first section it is shown in fair generality that the empirical central limit theorem is valid also for random sample size.
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© 1996 Springer Science+Business Media New York
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van der Vaart, A.W., Wellner, J.A. (1996). Random Sample Size, Poissonization and Kac Processes. In: Weak Convergence and Empirical Processes. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2545-2_31
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DOI: https://doi.org/10.1007/978-1-4757-2545-2_31
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-2547-6
Online ISBN: 978-1-4757-2545-2
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