Lengths of runs and waiting time distributions by using Polya-Eggenberger sampling scheme

In this paper, joint distributions of number of success runs of length k and number of failure runs of length k' are obtained by using combinatorial techniques including lattice path approach under Polya-Eggenberger model. Some of its particular cases, for different values of the parameters, are derived. Sooner and later waiting time problems and joint distributions of number of success runs of various types until first occurrence of consecutive success runs of specified length under the model are obtained. The sooner and later waiting time problems for Bernoulli trials (see Ebneshahrashoob and Sobel [3]) and joint distributions of the type discussed by Uchiada and Aki [11] are shown as particular cases. Assuming L and S. to be the lengths of longest and smallest success runs, respectively, in a sample of size n drawn by Polya-Eggenberger sampling scheme, the joint distributions of L-n and S-n as well as distribution of M-n = max (L-n, F-n), where F-n is the length of longest failure run, are also obtained.