Schinazi, Rinaldo B.

Probability with statistical applications - 3rd ed. - Cham ; Birkhauser, 2022 - xi, 361 p. ; ill., 24 cm

Includes bibliographical references and index.

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. Probability with Statistical Applications, Third Edition is intended for undergraduate students taking a first course in probability; later chapters are also suited for a second course in probability and mathematical statistics. Calculus is the only prerequisite; prior knowledge of probability is not required.

9783030936341


Mathematical statistics
Probabilities
Applications of mathematics
Distribution probability theory
Stochastic Processes
Poisson distribution
Null hypothesis
Normal random variable
Exponentially distributed
Exponential family
Distribution function
Continuous random variable
Chi-squared distribution
Confidence interval
Binomial random variable
Bernoulli random variables

519.2 / SCH

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