id: 06383494
dt: b
an: 2015f.00886
au: Kinney, John J.
ti: Probability. An introduction with statistical applications. 2nd ed.
so: Hoboken, NJ: John Wiley \& Sons (ISBN 978-1-118-94708-1/hbk;
978-1-118-94709-8/ebook). xv, 464~p. (2015).
py: 2015
pu: Hoboken, NJ: John Wiley \& Sons
la: EN
cc: K55 K65 K45 K75 K85 K95
ut: recursion; probability generating function; mean generating function;
computer algebra systems; hypotheses testing; confidence interval;
quality control
ci: Zbl 0868.62002
li:
ab: 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.
rv: Nelson I. Tanaka (São Paulo)