Advances In Applied Probability


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Advances in applied probability


Advances in applied probability

Author: Applied Probability Trust

language: en

Publisher:

Release Date: 1969


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Applied Probability and Stochastic Processes


Applied Probability and Stochastic Processes

Author: V. C. Joshua

language: en

Publisher: Springer Nature

Release Date: 2020-08-29


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This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7–10 January 2019. It showcases high-quality research conducted in the field of applied probability and stochastic processes by focusing on techniques for the modelling and analysis of systems evolving with time. Further, it discusses the applications of stochastic modelling in queuing theory, reliability, inventory, financial mathematics, operations research, and more. This book is intended for a broad audience, ranging from researchers interested in applied probability, stochastic modelling with reference to queuing theory, inventory, and reliability, to those working in industries such as communication and computer networks, distributed information systems, next-generation communication systems, intelligent transportation networks, and financial markets.

Recent Advances in Applied Probability


Recent Advances in Applied Probability

Author: Ricardo Baeza-Yates

language: en

Publisher: Springer Science & Business Media

Release Date: 2006-02-28


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Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, quality control, sociology, and statistics. Recent Advances in Applied Probability is a collection of survey articles that bring together the work of leading researchers in applied probability to present current research advances in this important area. This volume will be of interest to graduate students and researchers whose research is closely connected to probability modelling and their applications. It is suitable for one semester graduate level research seminar in applied probability.