Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions (Encyclopedia of Mathematics and its Applications)

Science & Math

Borovkov, K. A.

Borovkov, A.A.

Mathematics

Cambridge University Press

Scientists, engineers, postgraduates, and students: do you employ probabilistic methods and models use statistical methods or combinatorics possess an interest in having direct access to original Russian-language literature? If so, then this dictionary is for you.  Today, almost all Russian-language mathematical journals are translated into English; however, there remains an interest in and demand for the original Russian scientific literature. This volume fulfills a need by scientists and translators for a dictionary with current terminology in probability theory, mathematical statistics, combinatorics, and their applications.  Borovkov's dictionary, which is the only one that translates from Russian to English and English to Russian in these subject areas, will help specialists to read and understand Russian-language texts covering these topics. It is especially useful because it contains entries related to developments that have occurred in probability, statistics, and combinatorics over the past three decades. The dictionary includes more than 15,000 terms and expressions and the spelling of many names that appear in scientific and technical literature.

Russian-English/English-Russian Dictionary on Probability, Statistics, and Combinatorics

Reference

Dictionaries & Thesauruses

Society for Industrial and Applied Mathematics

ELEMENTS OF STOCHASTIC MODELLING

This textbook has been developed from the lecture notes for a one-semester course on stochastic modelling. It reviews the basics of probability theory and then covers the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation. Rigorous proofs are often replaced with sketches of arguments - with indications as to why a particular result holds, and also how it is connected with other results - and illustrated by examples. Wherever possible, the book includes references to more specialised texts containing both proofs and more advanced material related to the topics covered.

Elements of stochastic modelling

WSPC

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