東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Introduction to probability theory :...

Moshayedi, Nima,

FindBook

Google Book

Amazon

博客來

Introduction to probability theory : = a first course on the measure-theoretic approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Introduction to probability theory :/ Nima Moshayedi.
其他題名:	a first course on the measure-theoretic approach /
作者:	Moshayedi, Nima,
出版者:	New Jersey :World Scientific, : c2022.,
面頁冊數:	xiv, 277 p. :ill. ;25 cm.
標題:	Probabilities. -
ISBN:	9789811246746

Introduction to probability theory : = a first course on the measure-theoretic approach /
Moshayedi, Nima,

Introduction to probability theory :a first course on the measure-theoretic approach /Nima Moshayedi. - New Jersey :World Scientific,c2022. - xiv, 277 p. :ill. ;25 cm. - World Scientific series on probability theory and its applications,Volume 32737-4467 ;.

Includes bibliographical references and index.

"This book provides a first introduction to the methods of probability theory by using the modern and rigorous techniques of measure theory andfunctional analysis. It is geared for undergraduate students, mainly inmathematics and physics majors, but also for students from other subjectareas such as economics, finance and engineering. It is an invaluablesource, either for a parallel use to a related lecture or for its ownpurpose of learning it. The first part of the book gives a basicintroduction to probability theory. It explains the notions of random eventsand random variables, probability measures, expectation values,distributions, characteristic functions, independence of random variables,as well as different types of convergence and limit theorems. The first partcontains two chapters. The first chapter presents combinatorial aspects ofprobability theory, and the second chapter delves into the actualintroduction to probability theory, which contains the modern probabilitylanguage. The second part is devoted to some more sophisticated methods suchas conditional expectations, martingales and Markov chains. These notions will be fairly accessible after reading the first part"--

ISBN: 9789811246746US88

LCCN: 2021045265Subjects--Topical Terms:

518889
Probabilities.

LC Class. No.: QA273 / .M785 2022

Dewey Class. No.: 519.2

Introduction to probability theory : = a first course on the measure-theoretic approach /
LDR:02016cam a2200217 a 450 001 2259137
005 20220617082832.0
008 220427s2022 njua b 001 0 eng
010 $a 2021045265
020 $a 9789811246746 $q (hbk.) : $c US88
020 $z 9789811243356 $q (ebook for institutions)
020 $z 9789811243363 $q (ebook for individuals)
040 $a DLC $b eng $c DLC
042 $a pcc
050 0 0 $a QA273 $b .M785 2022
082 0 0 $a 519.2 $2 23
100 1 $a Moshayedi, Nima, $e author. $3 3565396
245 1 0 $a Introduction to probability theory : $b a first course on the measure-theoretic approach / $c Nima Moshayedi.
260 # $a New Jersey : $b World Scientific, $c c2022.
300 $a xiv, 277 p. : $b ill. ; $c 25 cm.
490 0 $a World Scientific series on probability theory and its applications, $x 2737-4467 ; $v Volume 3
504 $a Includes bibliographical references and index.
520 # $a "This book provides a first introduction to the methods of probability theory by using the modern and rigorous techniques of measure theory andfunctional analysis. It is geared for undergraduate students, mainly inmathematics and physics majors, but also for students from other subjectareas such as economics, finance and engineering. It is an invaluablesource, either for a parallel use to a related lecture or for its ownpurpose of learning it. The first part of the book gives a basicintroduction to probability theory. It explains the notions of random eventsand random variables, probability measures, expectation values,distributions, characteristic functions, independence of random variables,as well as different types of convergence and limit theorems. The first partcontains two chapters. The first chapter presents combinatorial aspects ofprobability theory, and the second chapter delves into the actualintroduction to probability theory, which contains the modern probabilitylanguage. The second part is devoted to some more sophisticated methods suchas conditional expectations, martingales and Markov chains. These notions will be fairly accessible after reading the first part"-- $c Provided by publisher.
650 # 0 $a Probabilities. $3 518889