Handbook of Statistics 19: Stochastic Processes: Theory and Methods (Vol 19)

J. Neyman, one of the pioneers in laying the foundations of modern statistical theory, stressed the importance of stochastic processes in a paper written in 1960. Arising from the need to solve practical problems, several major advances have taken place in the theory of stochastic processes and their applications. Certain books have created growing awareness and interest in the use of stochastic processes in scientific and technological studies. The literature on stochastic processes is extensive and is distributed in several books and journals. This volume addresses the need to review the different lines of researches and developments in stochastic processes and present a consolidated and comprehensive account for the benefit of students, research workers, teachers and consultants.