語系:
繁體中文
English
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 and simulation
~
Okten, Giray.
FindBook
Google Book
Amazon
博客來
Probability and simulation
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Probability and simulation/ by Giray Okten.
作者:
Okten, Giray.
出版者:
Cham :Springer International Publishing : : 2020.,
面頁冊數:
x, 152 p. :ill., digital ;24 cm.
內容註:
Probability -- Discrete Random Variables -- Continuous Random Variables -- Markov Chains -- Brownian Motion -- Benford's Law -- Data for Project 12 -- Partial Solutions to Projects -- References.
Contained By:
Springer Nature eBook
標題:
Probabilities. -
電子資源:
https://doi.org/10.1007/978-3-030-56070-6
ISBN:
9783030560706
Probability and simulation
Okten, Giray.
Probability and simulation
[electronic resource] /by Giray Okten. - Cham :Springer International Publishing :2020. - x, 152 p. :ill., digital ;24 cm. - Springer undergraduate texts in mathematics and technology,1867-5506. - Springer undergraduate texts in mathematics and technology..
Probability -- Discrete Random Variables -- Continuous Random Variables -- Markov Chains -- Brownian Motion -- Benford's Law -- Data for Project 12 -- Partial Solutions to Projects -- References.
This undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability. Its modular structure complements a traditional lecture format, introducing new topics chapter by chapter with accompanying projects for group collaboration. The text addresses probability axioms leading to Bayes' theorem, discrete and continuous random variables, Markov chains, and Brownian motion, as well as applications including randomized algorithms, randomized surveys, Benford's law, and Monte Carlo methods. Adopting a unique application-driven approach to better study probability in action, the book emphasizes data, simulation, and games to strengthen reader insight and intuition while proving theorems. Additionally, the text incorporates codes and exercises in the Julia programming language to further promote a hands-on focus in modelling. Students should have prior knowledge of single variable calculus. Giray Ökten received his PhD from Claremont Graduate University. He has held academic positions at University of Alaska Fairbanks, Ball State University, and Florida State University. He received a Fulbright U.S. Scholar award in 2015. His research interests include Monte Carlo methods and computational finance.
ISBN: 9783030560706
Standard No.: 10.1007/978-3-030-56070-6doiSubjects--Topical Terms:
518889
Probabilities.
LC Class. No.: QA273 / .O58 2020
Dewey Class. No.: 519.2
Probability and simulation
LDR
:02550nmm a2200349 a 4500
001
2256638
003
DE-He213
005
20210204104314.0
006
m d
007
cr nn 008maaau
008
220420s2020 sz s 0 eng d
020
$a
9783030560706
$q
(electronic bk.)
020
$a
9783030560690
$q
(paper)
024
7
$a
10.1007/978-3-030-56070-6
$2
doi
035
$a
978-3-030-56070-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA273
$b
.O58 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
.O41 2020
100
1
$a
Okten, Giray.
$3
3527131
245
1 0
$a
Probability and simulation
$h
[electronic resource] /
$c
by Giray Okten.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
x, 152 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer undergraduate texts in mathematics and technology,
$x
1867-5506
505
0
$a
Probability -- Discrete Random Variables -- Continuous Random Variables -- Markov Chains -- Brownian Motion -- Benford's Law -- Data for Project 12 -- Partial Solutions to Projects -- References.
520
$a
This undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability. Its modular structure complements a traditional lecture format, introducing new topics chapter by chapter with accompanying projects for group collaboration. The text addresses probability axioms leading to Bayes' theorem, discrete and continuous random variables, Markov chains, and Brownian motion, as well as applications including randomized algorithms, randomized surveys, Benford's law, and Monte Carlo methods. Adopting a unique application-driven approach to better study probability in action, the book emphasizes data, simulation, and games to strengthen reader insight and intuition while proving theorems. Additionally, the text incorporates codes and exercises in the Julia programming language to further promote a hands-on focus in modelling. Students should have prior knowledge of single variable calculus. Giray Ökten received his PhD from Claremont Graduate University. He has held academic positions at University of Alaska Fairbanks, Ball State University, and Florida State University. He received a Fulbright U.S. Scholar award in 2015. His research interests include Monte Carlo methods and computational finance.
650
0
$a
Probabilities.
$3
518889
650
0
$a
Mathematical models.
$3
522882
650
1 4
$a
Probability Theory and Stochastic Processes.
$3
891080
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Springer undergraduate texts in mathematics and technology.
$3
1629118
856
4 0
$u
https://doi.org/10.1007/978-3-030-56070-6
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9412273
電子資源
11.線上閱覽_V
電子書
EB QA273 .O58 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入