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Probability = an introduction through theory and exercises /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Probability/ by Paolo Baldi.
其他題名:	an introduction through theory and exercises /
作者:	Baldi, Paolo.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	ix, 389 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Measure and Integration. -
電子資源:	https://doi.org/10.1007/978-3-031-38492-9
ISBN:	9783031384929

Probability = an introduction through theory and exercises /
Baldi, Paolo.

Probabilityan introduction through theory and exercises /[electronic resource] :by Paolo Baldi. - Cham :Springer International Publishing :2023. - ix, 389 p. :ill., digital ;24 cm. - Universitext,2191-6675. - Universitext..

1 Elements of Measure Theory -- 2 Probability -- 3 Convergence -- 4 Conditioning -- 5 Martingales -- 6 Complements -- 7 Solutions.

This textbook offers a complete one-semester course in probability, covering the essential topics necessary for further study in the areas of probability and statistics. The book begins with a review of the fundamentals of measure theory and integration. Probability measures, random variables, and their laws are introduced next, along with the main analytic tools for their investigation, accompanied by some applications to statistics. Questions of convergence lead to classical results such as the law of large numbers and the central limit theorem with their applications also to statistical analysis and more. Conditioning is the next main topic, followed by a thorough introduction to discrete time martingales. Some attention is given to computer simulation. Through the text, over 150 exercises with full solutions not only reinforce the concepts presented, but also provide students with opportunities to develop their problem-solving skills, and make this textbook suitable for guided self-study. Based on years of teaching experience, the author's expertise will be evident in the clear presentation of material and the carefully chosen exercises. Assuming familiarity with measure and integration theory as well as elementary notions of probability, the book is specifically designed for teaching in parallel with a first course in measure theory. An invaluable resource for both instructors and students alike, it offers ideal preparation for further courses in statistics or probability, such as stochastic calculus, as covered in the author's book on the topic.

ISBN: 9783031384929

Standard No.: 10.1007/978-3-031-38492-9doiSubjects--Topical Terms:

672015
Measure and Integration.

LC Class. No.: QA273

Dewey Class. No.: 519.2

Probability = an introduction through theory and exercises /
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