@book {MATHEDUC.06383494,
author = {Kinney, John J.},
title = {Probability. An introduction with statistical applications. 2nd ed.},
year = {2015},
isbn = {978-1-118-94708-1},
edition = {2nd ed.},
pages = {xv, 464~p.},
publisher = {Hoboken, NJ: John Wiley \& Sons},
abstract = {The book covers the usual topics on introductory probability. What mainly distinguishes this text from the other competitors is that it makes use of tools like recursion, probability and mean generating functions to a much larger extent in order to solve problems, especially on discrete probability. Such tools can be more extensively exploited nowadays due to powerful computational resources and smart computer algebra systems. A variety of problems appearing in a broad range of scientific areas are discussed and solved throughout the text. Some topics in statistics are presented as applications of probability. However, we must object to the one referred to as jackknife regression, since it misses the point of what the objective of regression is. Several typos occur throughout the text which, hopefully, will be corrected in a new edition of the book.},
reviewer = {Nelson I. Tanaka (S\~ao Paulo)},
msc2010 = {K55xx (K65xx K45xx K75xx K85xx K95xx)},
identifier = {2015f.00886},
}