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Robert P. Dobrow - Introduction to Stochastic Processes with R - 9781118740651 - V9781118740651
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Introduction to Stochastic Processes with R

€ 129.33
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Description for Introduction to Stochastic Processes with R Hardcover. An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an emphasis on real-world applications of probability theory in the natural and social sciences. Num Pages: 480 pages. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 250 x 150 x 15. Weight in Grams: 666.
An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an emphasis on real-world applications of probability theory in the natural and social sciences. The use of simulation, by means of the popular statistical software R, makes theoretical results come alive with practical, hands-on demonstrations. Written by a highly-qualified expert in the field, the author presents numerous examples from a wide array of disciplines, which are used to illustrate concepts and highlight computational and theoretical results. Developing readers problem-solving skills ... Read more

Product Details

Publisher
John Wiley & Sons Inc
Format
Hardback
Publication date
2016
Condition
New
Weight
815g
Number of Pages
504
Place of Publication
New York, United States
ISBN
9781118740651
SKU
V9781118740651
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2

About Robert P. Dobrow
Robert P. Dobrow, PhD, is Professor of Mathematics and Statistics at Carleton College. He has taught probability and stochastic processes for over 15 years and has authored numerous research papers in Markov chains, probability theory and statistics.

Reviews for Introduction to Stochastic Processes with R
This text provides an excellent introduction to stochastic processes and their applications .... Examples are plentiful and well chosen, and help to organize the material and to move it forward. Each section contains a good supply of exercises, both calculational and theoretical Thomas Polaski, Mathematical Reviews, Sept 2017

Goodreads reviews for Introduction to Stochastic Processes with R


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