Consider a sequence of n independent Bernoulli trials with the j-th trial having probability Pj of success, 1 ≤ j ≤ n. Let M(n, K) and N(n,K) denote, respectively, the r-dimensional random variables (M(n, k1), ..., M(n,kr)) and (N (n, k1),..., N(n, kr)), where K = (k1, k2,..., kr) and M(n, s) [N(n, s)] represents the number of overlapping [non-overlapping] success runs of length s. We obtain exact formulae and recursions for the probability distributions of M(n, K) and N(n, K). The techniques of proof employed include the inclusion-exclusion principle and generating function methodology. Our results have potential applications to statistical tests for randomness
Let be a pattern (single or composite) defined over a sequence of Bernoulli trials. Let Xn, Sn and F...
The probability that a sequence of n Bernoulli trials contains a run of at least k successive l&apos...
As one of the non-parametric tests, there is a test of randomness by means of runs, which is an appl...
Let X1, X2,...,Xn be a time-homogeneous {0, 1}-valued Markov chain. Let Y = (Y1,...,Yr) denote the r...
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli tria...
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli tria...
The probability distribution of the number of success runs of length k ([greater-or-equal, slanted]1...
Let N(k)n denote the number of success runs of length k ([greater-or-equal, slanted] 1) in n Bernoul...
Let N(k)n denote the number of success runs of length k (≥ 1) in n Bernoulli trials. A specific form...
Let N(k)n denote the number of success runs of length k (≥ 1) in n Bernoulli trials. A specific form...
In a recent paper, the authors derived the exact solution for the probability mass function of the g...
Markov chain, Multistate trials, Runs, Moments, Enumeration schemes, Recursive scheme, Conditional d...
WOS: 000312173600015Let X-1, ... , X-n be an exchangeable sequence of binary trials arranged on a ci...
WOS: 000312173600015Let X-1, ... , X-n be an exchangeable sequence of binary trials arranged on a ci...
Presents a method of deriving the limiting distributions of the number of occurences of success (S) ...
Let be a pattern (single or composite) defined over a sequence of Bernoulli trials. Let Xn, Sn and F...
The probability that a sequence of n Bernoulli trials contains a run of at least k successive l&apos...
As one of the non-parametric tests, there is a test of randomness by means of runs, which is an appl...
Let X1, X2,...,Xn be a time-homogeneous {0, 1}-valued Markov chain. Let Y = (Y1,...,Yr) denote the r...
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli tria...
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli tria...
The probability distribution of the number of success runs of length k ([greater-or-equal, slanted]1...
Let N(k)n denote the number of success runs of length k ([greater-or-equal, slanted] 1) in n Bernoul...
Let N(k)n denote the number of success runs of length k (≥ 1) in n Bernoulli trials. A specific form...
Let N(k)n denote the number of success runs of length k (≥ 1) in n Bernoulli trials. A specific form...
In a recent paper, the authors derived the exact solution for the probability mass function of the g...
Markov chain, Multistate trials, Runs, Moments, Enumeration schemes, Recursive scheme, Conditional d...
WOS: 000312173600015Let X-1, ... , X-n be an exchangeable sequence of binary trials arranged on a ci...
WOS: 000312173600015Let X-1, ... , X-n be an exchangeable sequence of binary trials arranged on a ci...
Presents a method of deriving the limiting distributions of the number of occurences of success (S) ...
Let be a pattern (single or composite) defined over a sequence of Bernoulli trials. Let Xn, Sn and F...
The probability that a sequence of n Bernoulli trials contains a run of at least k successive l&apos...
As one of the non-parametric tests, there is a test of randomness by means of runs, which is an appl...