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summary Recent work has considered properties of the number of observations Xj, independently drawn from a discrete law, which equal the sample maximum X(n) The natural analogue for continuous laws is the number Kn(a) of observations in the interval (X(n)–a, X(n)], where a > 0. This paper derives general expressions for the law, first moment, and probability generating function of Kn(a), mentioning examples where evaluations can be given. It seeks limit laws for n→ and finds a central limit result when a is fixed and the population law has a finite right extremity. Whenever the population law is attracted to an extremal law, a limit theorem can be found by letting a depend on n in an appropriate manner; thus the limit law is geometric when the extremal law is the Gumbel type. With these results, the paper obtains limit laws for ‘top end’ spacings X(n) ‐ X(n‐j) with j fixed.

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In this paper, a survey is given of some recent developments in inl'inite divisibility. There are three main topics: (i) the occurrence c.lf Infinitely divisible distributions in appli&J stochastic processes such as queueing prowses ;ilnd birth-death processes, (iib the constiuctkn of infinitely divisible distributions, mainly by m:ixing, and (iii) conditions for infinite divisibiIit} in terms of distribution functions and densities.

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