Robert P. Dobrow - Probability
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- Название:Probability
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Probability: краткое содержание, описание и аннотация
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distinguished researchers Drs. Robert Dobrow and Amy Wagaman deliver a thorough introduction to the foundations of probability theory. The book includes a host of chapter exercises, examples in R with included code, and well-explained solutions. With new and improved discussions on reproducibility for random numbers and how to set seeds in R, and organizational changes, the new edition will be of use to anyone taking their first probability course within a mathematics, statistics, engineering, or data science program.
New exercises and supplemental materials support more engagement with R, and include new code samples to accompany examples in a variety of chapters and sections that didn’t include them in the first edition.
The new edition also includes for the first time:
A thorough discussion of reproducibility in the context of generating random numbers Revised sections and exercises on conditioning, and a renewed description of specifying PMFs and PDFs Substantial organizational changes to improve the flow of the material Additional descriptions and supplemental examples to the bivariate sections to assist students with a limited understanding of calculus Perfect for upper-level undergraduate students in a first course on probability theory, is also ideal for researchers seeking to learn probability from the ground up or those self-studying probability for the purpose of taking advanced coursework or preparing for actuarial exams.
possible outcomes. Rolling a die four times gives
possible rolls.
, there are six permutations:
-element set? There are
possibilities for the first element of the permutation,
for the second, and so on. The result follows by the multiplication principle.
permutations of an
-element set.
grows very large very fast. In a classroom of 10 people with 10 chairs, there are
3,628,800 ways to seat the students. There are
orderings of a standard deck of cards, which is “almost” as big as the number of atoms in the observable universe, which is estimated to be about 
, where
is a constant, are said to exhibit exponential growth. The factorial function
grows like
, which is sometimes called super-exponential growth.
is pervasive in discrete probability. A good approximation when
is large is given by Stirling's approximation
“is asymptotic to” the function 