Description

Book Synopsis
Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters'' students in cognate fields. It is suitable for a first course in probability, plus a follow-up course in random processes including Markov chains.A special feature is the authors'' attention to rigorous mathematics: not everything is rigorous, but the need for rigour is explained at difficult junctures. The text is enriched by simple exercises, together with problems (with very brief hints) many of which are taken from final examinations at Cambridge and Oxford. The first eight chapters form a course in basic probability, being an account of events, random variables, and distributions - discrete and continuous random variables are treated separately - together with simple versions of the law of large numbers

Table of Contents
PART A BASIC PROBABILITY; PART B FURTHER PROBABILITY

Probability

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    A Paperback / softback by Geoffrey Grimmett, Dominic Welsh

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      Book details

      Publisher Oxford University Press
      Published 21 August 2014
      ISBN-13 9780198709978
      978-0198709978
      ISBN-10 0198709978
      Also in:
      Mathematics Probability and statistics Stochastics Science & Nature Maths for scientists

      Description

      Book Synopsis
      Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters'' students in cognate fields. It is suitable for a first course in probability, plus a follow-up course in random processes including Markov chains.A special feature is the authors'' attention to rigorous mathematics: not everything is rigorous, but the need for rigour is explained at difficult junctures. The text is enriched by simple exercises, together with problems (with very brief hints) many of which are taken from final examinations at Cambridge and Oxford. The first eight chapters form a course in basic probability, being an account of events, random variables, and distributions - discrete and continuous random variables are treated separately - together with simple versions of the law of large numbers

      Table of Contents
      PART A BASIC PROBABILITY; PART B FURTHER PROBABILITY

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