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
Modern nonparametric, robust and mul...
~
Taskinen, Sara.
Modern nonparametric, robust and multivariate methods = Festschrift in honour of Hannu Oja /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Modern nonparametric, robust and multivariate methods/ edited by Klaus Nordhausen, Sara Taskinen.
其他題名:
Festschrift in honour of Hannu Oja /
其他作者:
Taskinen, Sara.
出版者:
Cham :Imprint: Springer, : 2015.,
面頁冊數:
xx, 506 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-22404-6
ISBN:
9783319224046
Modern nonparametric, robust and multivariate methods = Festschrift in honour of Hannu Oja /
Modern nonparametric, robust and multivariate methods
Festschrift in honour of Hannu Oja /[electronic resource] :edited by Klaus Nordhausen, Sara Taskinen. - Cham :Imprint: Springer,2015. - xx, 506 p. :ill., digital ;24 cm.
Foreword -- Preface -- Part I: Remarks About Hannu Oja's Career and Publications -- Part II: Univariate Nonparametric and Robust Methods -- Part III: Nonparametric and Robust Methods for Multivariate and Functional Data -- Part IV: Invariant Coordinate Selection and Related Methods.
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.
ISBN: 9783319224046
Standard No.: 10.1007/978-3-319-22404-6doiSubjects--Topical Terms:
782247
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
LC Class. No.: QA278.8
Dewey Class. No.: 519.5
Modern nonparametric, robust and multivariate methods = Festschrift in honour of Hannu Oja /
LDR
:01832nam a2200313 a 4500
001
838625
003
DE-He213
005
20160414131933.0
006
m d
007
cr nn 008maaau
008
160616s2015 gw s 0 eng d
020
$a
9783319224046
$q
(electronic bk.)
020
$a
9783319224039
$q
(paper)
024
7
$a
10.1007/978-3-319-22404-6
$2
doi
035
$a
978-3-319-22404-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA278.8
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
082
0 4
$a
519.5
$2
23
090
$a
QA278.8
$b
.M689 2015
245
0 0
$a
Modern nonparametric, robust and multivariate methods
$h
[electronic resource] :
$b
Festschrift in honour of Hannu Oja /
$c
edited by Klaus Nordhausen, Sara Taskinen.
260
$a
Cham :
$c
2015.
$b
Imprint: Springer,
$b
Springer International Publishing :
300
$a
xx, 506 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Foreword -- Preface -- Part I: Remarks About Hannu Oja's Career and Publications -- Part II: Univariate Nonparametric and Robust Methods -- Part III: Nonparametric and Robust Methods for Multivariate and Functional Data -- Part IV: Invariant Coordinate Selection and Related Methods.
520
$a
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.
650
2 4
$a
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
$3
782247
650
2 4
$a
Signal, Image and Speech Processing.
$3
670837
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
1 4
$a
Statistics.
$3
556824
650
0
$a
Multivariate analysis.
$3
577402
650
0
$a
Robust statistics.
$3
528156
650
0
$a
Nonparametric statistics.
$3
527779
700
1
$a
Taskinen, Sara.
$3
1069879
700
1
$a
Nordhausen, Klaus.
$3
1069878
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-22404-6
950
$a
Mathematics and Statistics (Springer-11649)
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