Author:
Holmes Paul T.,Strawderman William E.
Abstract
Let X1,X2,X3,··· 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,
Vr is the trial on which the rth (upper) record observation occurs. {Vr} 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 Vr. 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 δr 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
26 articles.
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2. Extreme Value Distributions;Atlantis Studies in Probability and Statistics;2016
3. 19 A record of records;Handbook of Statistics;1998
4. Functional laws of the iterated logarithm for records;Journal of Statistical Planning and Inference;1995-01
5. Records;Theory of Probability & Its Applications;1988-01