Full Product Details
Author: Valérie Girardin ,
Nikolaos Limnios
Publisher: Springer Nature Switzerland AG
Imprint: Springer Nature Switzerland AG
Edition: Softcover reprint of the original 1st ed. 2018
Dimensions:
Width: 15.50cm
, Height: 1.50cm
, Length: 23.50cm
Weight: 0.454kg
ISBN: 9783030073527
ISBN 10: 3030073521
Pages: 260
Publication Date: 20 December 2018
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Language: English
Reviews
The primary audience of the book are students studying mathematics at a university and Ph.D. students in applied mathematics. It can also be served as a course at master's and doctoral's levels in applied probability. And finally, it is conceived as a support for the researchers and engineers dealing with stochastic modelling. (Anatoliy Swishchuk, zbMATH 1434.60002, 2020) It is intended for students (at master or PhD level) in applied mathematics as well as researchers and engineers dealing with stochastic modeling issues. ... Finally, the readers who want to get their hands on the different notions presented in the book will find at the end of each section a series of exercises with their solutions. (Julien Poisat, Mathematical Reviews, October, 2019)
“The primary audience of the book are students studying mathematics at a university and Ph.D. students in applied mathematics. It can also be served as a course at master’s and doctoral’s levels in applied probability. And finally, it is conceived as a support for the researchers and engineers dealing with stochastic modelling.” (Anatoliy Swishchuk, zbMATH 1434.60002, 2020) “It is intended for students (at master or PhD level) in applied mathematics as well as researchers and engineers dealing with stochastic modeling issues. … Finally, the readers who want to get their hands on the different notions presented in the book will find at the end of each section a series of exercises with their solutions.” (Julien Poisat, Mathematical Reviews, October, 2019)
It is intended for students (at master or PhD level) in applied mathematics as well as researchers and engineers dealing with stochastic modeling issues. ... Finally, the readers who want to get their hands on the different notions presented in the book will find at the end of each section a series of exercises with their solutions. (Julien Poisat, Mathematical Reviews, October, 2019)
Author Information
Valérie Girardin received her Ph.D. in Probability from the Université Paris-Sud in Orsay, France. She teaches analysis, probability and statistics to various levels of students, including future secondary school teachers in mathematics, future engineers and researchers. Her research interests include diverse aspects of stochastic processes, from theory to applied statistics, with a particular interest in information theory and biology. Nikolaos Limnios graduated from the Aristotle University of Thessaloniki and Polytechnic School of Thesaloniki, Greece. He received his Ph.D. and his Doctorat d’Etat from the Université de Technologie de Compiègne (UTC), France, where he is now a full professor. He teaches probability, statistics and stochastic processes to future engineers. His research interests in stochastic processes and statistics include Markov, semi-Markov processes, branching processes, random evolutions and their applications in biology, reliability, earthquake, population evolutions, among other topics.
