語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Independent Random Sampling Methods
~
Míguez, Joaquín.
Independent Random Sampling Methods
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Independent Random Sampling Methods/ by Luca Martino, David Luengo, Joaquín Míguez.
作者:
Martino, Luca.
其他作者:
Luengo, David.
面頁冊數:
XII, 280 p. 55 illus., 52 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics . -
電子資源:
https://doi.org/10.1007/978-3-319-72634-2
ISBN:
9783319726342
Independent Random Sampling Methods
Martino, Luca.
Independent Random Sampling Methods
[electronic resource] /by Luca Martino, David Luengo, Joaquín Míguez. - 1st ed. 2018. - XII, 280 p. 55 illus., 52 illus. in color.online resource. - Statistics and Computing,1431-8784. - Statistics and Computing,.
Introduction -- Direct methods -- Accept-Reject methods -- Adaptive rejection sampling methods -- Ratio of Uniforms -- Independent sampling for multivariate densities -- Asymptotically independent samplers -- Summary and outlook -- A. Acronyms and abbrevations -- B. Notation -- C. Jones' RoU generalization -- D. Polar transformation.
This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently address common real-world practical problems, are introduced and discussed in detail. In turn, the monograph presents fundamental results and methodologies in the field, elaborating and developing them into the latest techniques. The theory and methods are illustrated with a varied collection of examples, which are discussed in detail in the text and supplemented with ready-to-run computer code. The main problem addressed in the book is how to generate independent random samples from an arbitrary probability distribution with the weakest possible constraints or assumptions in a form suitable for practical implementation. The authors review the fundamental results and methods in the field, address the latest methods, and emphasize the links and interplay between ostensibly diverse techniques.
ISBN: 9783319726342
Standard No.: 10.1007/978-3-319-72634-2doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Independent Random Sampling Methods
LDR
:02841nam a22004095i 4500
001
996004
003
DE-He213
005
20200704111459.0
007
cr nn 008mamaa
008
201225s2018 gw | s |||| 0|eng d
020
$a
9783319726342
$9
978-3-319-72634-2
024
7
$a
10.1007/978-3-319-72634-2
$2
doi
035
$a
978-3-319-72634-2
050
4
$a
QA276-280
072
7
$a
UFM
$2
bicssc
072
7
$a
COM077000
$2
bisacsh
072
7
$a
UFM
$2
thema
082
0 4
$a
519.5
$2
23
100
1
$a
Martino, Luca.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1202769
245
1 0
$a
Independent Random Sampling Methods
$h
[electronic resource] /
$c
by Luca Martino, David Luengo, Joaquín Míguez.
250
$a
1st ed. 2018.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
XII, 280 p. 55 illus., 52 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Statistics and Computing,
$x
1431-8784
505
0
$a
Introduction -- Direct methods -- Accept-Reject methods -- Adaptive rejection sampling methods -- Ratio of Uniforms -- Independent sampling for multivariate densities -- Asymptotically independent samplers -- Summary and outlook -- A. Acronyms and abbrevations -- B. Notation -- C. Jones' RoU generalization -- D. Polar transformation.
520
$a
This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently address common real-world practical problems, are introduced and discussed in detail. In turn, the monograph presents fundamental results and methodologies in the field, elaborating and developing them into the latest techniques. The theory and methods are illustrated with a varied collection of examples, which are discussed in detail in the text and supplemented with ready-to-run computer code. The main problem addressed in the book is how to generate independent random samples from an arbitrary probability distribution with the weakest possible constraints or assumptions in a form suitable for practical implementation. The authors review the fundamental results and methods in the field, address the latest methods, and emphasize the links and interplay between ostensibly diverse techniques.
650
0
$a
Statistics .
$3
1253516
650
0
$a
Computer science—Mathematics.
$3
1253519
650
0
$a
Economics, Mathematical .
$3
1253712
650
1 4
$a
Statistics and Computing/Statistics Programs.
$3
669775
650
2 4
$a
Mathematics of Computing.
$3
669457
650
2 4
$a
Quantitative Finance.
$3
669372
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
$3
782247
700
1
$a
Luengo, David.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1202770
700
1
$a
Míguez, Joaquín.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1287141
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319726335
776
0 8
$i
Printed edition:
$z
9783319726359
776
0 8
$i
Printed edition:
$z
9783030102418
830
0
$a
Statistics and Computing,
$x
1431-8784
$3
1267615
856
4 0
$u
https://doi.org/10.1007/978-3-319-72634-2
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入