A note on the waiting times between record observations

Author:

Holmes Paul T.,Strawderman William E.

Abstract

Let X 1, X 2, X 3,··· be independent, identically distributed random variables with a continuous distribution function and let the sequence of indices {Vr } be defined as follows: and for r ≧ 1, V r is the trial on which the rth (upper) record observation occurs. {V r} will be an infinite sequence of random variables since the underlying distribution function of the X's is continuous. It is well known that the expected value of V r. is infinite for every r (see, for example, Feller [1], page 15). Also define and for r > 1 δr is the number of trials between the (r - l)th and the rth record. The distributions of the random variables Vr and δ r do not depend on the distribution of the original random variables. It can be shown (see Neuts [2], page 206 or Tata 1[4], page 26) that The following theorem is due to Neuts [2].

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On a joint strong approximation theorem for record and inter-record times;Probability Theory and Related Fields;1987-06

2. On the distribution of the inter-record times in an increasing population;Journal of Applied Probability;1975-03

3. On record and inter-record times for a sequence of random variables defined on a Markov chain;Advances in Applied Probability;1975-03

4. Record values and inter-record times;Journal of Applied Probability;1973-09

5. Record values and inter-record times;Journal of Applied Probability;1973-09

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