A First Course in Probability and Markov Chains
A First Course in Probability and Markov Chains
A First Course in Probability and Markov Chains by Giuseppe Modica and Laura Poggiolini
A First Course in Probability and Markov Chains presents an
introduction to the basic elements in probability and focuses on two
main areas. The first part explores notions and structures in
probability, including combinatorics, probability measures, probability
distributions, conditional probability, inclusion-exclusion formulas,
random variables, dispersion indexes, independent random variables as
well as weak and strong laws of large numbers and central limit theorem.
In the second part of the book, focus is given to Discrete Time
Discrete Markov Chains which is addressed together with an introduction
to Poisson processes and Continuous Time Discrete Markov Chains. This
book also looks at making use of measure theory notations that unify all
the presentation, in particular avoiding the separate treatment of
continuous and discrete distributions.
Ebook format: PDF
Ebook page: 348
File size: 3.54 MB
Ebook page: 348
File size: 3.54 MB
$45.00
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