Handbook of Statistics 21: Stochastic Processes: Modeling and Simulation
โ Scribed by D. N. Shanbhag, C. Radhakrishna Rao
- Book ID
- 127455509
- Publisher
- Elsevier Publishing Company
- Year
- 2003
- Tongue
- English
- Weight
- 8 MB
- Edition
- 1
- Category
- Library
- ISBN-13
- 9780444500137
No coin nor oath required. For personal study only.
โฆ Synopsis
Handbook of Statistics 21 This is a sequel to volume 19 of Handbook of Statistics on Stochastic Processes: Modelling and Simulation. It is concerned mainly with the theme of reviewing and in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This volume consists of 23 chapters addressing various topics in stochastic processes. These include, among others, those on manufacturing systems, random graphs, reliability, epidemic modelling, self-similar processes, empirical processes, time series models, extreme value theory, applications of Markov chains, modelling with Monte carlo techniques, and stochastic processes in subjects such as engineering, telecommunications, biology, astronomy and chemistry. (A complete list of the topics addressed in the volume is available from the "Contents" of the volume.)"
๐ SIMILAR VOLUMES
This is a sequel to volume 19 of Handbook of Statistics on Stochastic Processes: Modelling and Simulation. It is concerned mainly with the theme of reviewing and in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This
Hardbound. 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 in the following terms: "Currently in the period of dynamic indeterminism in science, there is hardly a serious piece of resear