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

Probability theory and stochastic pr...

Bremaud, Pierre.

FindBook

Google Book

Amazon

博客來

Probability theory and stochastic processes

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Probability theory and stochastic processes/ by Pierre Bremaud.
作者:	Bremaud, Pierre.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xvii, 713 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Probabilities. -
電子資源:	https://doi.org/10.1007/978-3-030-40183-2
ISBN:	9783030401832

Probability theory and stochastic processes
Bremaud, Pierre.

Probability theory and stochastic processes[electronic resource] /by Pierre Bremaud. - Cham :Springer International Publishing :2020. - xvii, 713 p. :ill., digital ;24 cm. - Universitext,0172-5939. - Universitext..

The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises. Random processes play a central role in the applied sciences, including operations research, insurance, finance, biology, physics, computer and communications networks, and signal processing. In order to help the reader to reach a level of technical autonomy sufficient to understand the presented models, this book includes a reasonable dose of probability theory. On the other hand, the study of stochastic processes gives an opportunity to apply the main theoretical results of probability theory beyond classroom examples and in a non-trivial manner that makes this discipline look more attractive to the applications-oriented student. One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes. There is sufficient modularity for the instructor or the self-teaching reader to design a course or a study program adapted to her/his specific needs. This book is in a large measure self-contained.

ISBN: 9783030401832

Standard No.: 10.1007/978-3-030-40183-2doiSubjects--Topical Terms:

518889
Probabilities.

LC Class. No.: QA273 / .B733 2020

Dewey Class. No.: 519.2

Probability theory and stochastic processes
LDR:02280nmm a2200337 a 4500 001 2217921
003 DE-He213
005 20200818093413.0
006 m d
007 cr nn 008maaau
008 201120s2020 sz s 0 eng d
020 $a 9783030401832 $q (electronic bk.)
020 $a 9783030401825 $q (paper)
024 7 $a 10.1007/978-3-030-40183-2 $2 doi
035 $a 978-3-030-40183-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA273 $b .B733 2020
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a PBWL $2 thema
082 0 4 $a 519.2 $2 23
090 $a QA273 $b .B836 2020
100 1 $a Bremaud, Pierre. $3 532103
245 1 0 $a Probability theory and stochastic processes $h [electronic resource] / $c by Pierre Bremaud.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvii, 713 p. : $b ill., digital ; $c 24 cm.
490 1 $a Universitext, $x 0172-5939
520 $a The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises. Random processes play a central role in the applied sciences, including operations research, insurance, finance, biology, physics, computer and communications networks, and signal processing. In order to help the reader to reach a level of technical autonomy sufficient to understand the presented models, this book includes a reasonable dose of probability theory. On the other hand, the study of stochastic processes gives an opportunity to apply the main theoretical results of probability theory beyond classroom examples and in a non-trivial manner that makes this discipline look more attractive to the applications-oriented student. One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes. There is sufficient modularity for the instructor or the self-teaching reader to design a course or a study program adapted to her/his specific needs. This book is in a large measure self-contained.
650 0 $a Probabilities. $3 518889
650 1 4 $a Probability Theory and Stochastic Processes. $3 891080
650 2 4 $a Statistical Theory and Methods. $3 891074
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Universitext. $3 812115
856 4 0 $u https://doi.org/10.1007/978-3-030-40183-2
950 $a Mathematics and Statistics (Springer-11649)