A direct method to obtain the joint distribution of successes, failures and patterns in enumeration problems

Let E be a pattern (single or composite) defined over a sequence of Bernoulli trials. Let X n , S n and F n be the number of occurrences of E , the number of successes and the number of failures in n trials, respectively. Also let T r , S T r and F T r be the waiting time for the rth occurrence of E...

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Veröffentlicht in:Statistics & probability letters Jg. 77; H. 1; S. 32 - 39
Hauptverfasser: Antzoulakos, Demetrios L., Boutsikas, Michael V.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 2007
Elsevier
Schriftenreihe:Statistics & Probability Letters
Schlagworte:
Applications
Combinatorial probability
Distribution theory
Double generating function
Exact sciences and technology
Mathematics
Patterns
Patterns Success runs Scans Probability generating function Double generating function Waiting time distribution
Probability and statistics
Probability generating function
Probability theory and stochastic processes
Reliability, life testing, quality control
Scans
Sciences and techniques of general use
Statistics
Success runs
Waiting time distribution
Success runs
Waiting time distribution
Probability generating function
Double generating function
Patterns
Scans
Scanning
Bernoulli trial
Generating function
Probability theory
Probability distribution
Joint distribution
Waiting time
Enumeration(counting)
Direct method
Statistical method
Time distribution
Distribution function
Failure time
ISSN:0167-7152, 1879-2103
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Beschreibung
Zusammenfassung:Let E be a pattern (single or composite) defined over a sequence of Bernoulli trials. Let X n , S n and F n be the number of occurrences of E , the number of successes and the number of failures in n trials, respectively. Also let T r , S T r and F T r be the waiting time for the rth occurrence of E in an infinite sequence of trials, the number of successes and the number of failures observed at that time, respectively. In this article we present some simple results revealing that, if we know either the distribution of X n or the distribution of T r we can instantly derive the joint distribution of ( X n , S n , F n ) and ( T r , S T r , F T r ) .
ISSN:0167-7152
1879-2103
DOI:10.1016/j.spl.2006.05.009