3rd. ed. — Birkhäuser, 2022. — 353 p. - ISBN 3030936341.
This textbook, now in its
third edition, offers a
practical introduction to probability with statistical applications, covering material for both
a first and second undergraduate probability course. The author focuses on essential concepts that every student should thoroughly understand. The content is organized into brief, easy-to-follow chapters, motivated by
plenty of examples.
The first part of the book focuses on classical discrete probability distributions, then goes on to study continuous distributions, confidence intervals, and statistical tests. The following section introduces more advanced concepts suitable for a second course in probability, such as random vectors and sums of random variables.
The last part of the book is dedicated to mathematical statistics concepts such as estimation, sufficiency, Bayes' estimation, and multiple regression. This third edition includes
a new chapter on combinatorics and a more distinct separation between discrete and continuous distributions. Some of the longer chapters in the previous editions have been divided into shorter chapters to allow for more flexible teaching. Calculus is the
only prerequisite; prior knowledge of probability
is not required.
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