Selection of the best generalized inverse-gaussian markov sequence
Selection between two ancL selection of the best amongst many Generalised Inverse Gaussian Markov Sequences (GIGMSs) is discussed in this paper. Probability of correct selection and determination of the sample size for achieving such a probability, as a function of the number of Markov sequences involved, are also derived and illustrated.