Lengths of runs and waiting time distributions by using Pólya-Eggenberger sampling scheme
K. Sen, Manju Lata Agarwal, Swarna Chakraborty · Studia Scientiarum Mathematicarum Hungarica · 2002
In this paper, joint distributions of number of success runs of lengthkand number of failure runs of lengthk'are obtained by using combinatorial techniques including lattice path approach under Pólya-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. AssumingLnandSnto be the lengths of longest and smallest success runs, respectively, in a sample of sizendrawn by Pólya-Eggenberger sampling scheme, the joint distributions ofLnand Snas well as distribution ofM=max(Ln,Fn)n, whereFnis the length of longest failure run, are also obtained.