Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Recent advances in robust statistics...
~
Agostinelli, Claudio.
Recent advances in robust statisticstheory and applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Recent advances in robust statisticsedited by Claudio Agostinelli ... [et al.].
Reminder of title:
theory and applications /
other author:
Agostinelli, Claudio.
Published:
New Delhi :Springer India :2016.
Description:
x, 201 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Robust statisticsCongresses.
Online resource:
http://dx.doi.org/10.1007/978-81-322-3643-6
ISBN:
9788132236436$q(electronic bk.)
Recent advances in robust statisticstheory and applications /
Recent advances in robust statistics
theory and applications /[electronic resource] :edited by Claudio Agostinelli ... [et al.]. - New Delhi :Springer India :2016. - x, 201 p. :ill., digital ;24 cm.
This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12-16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods. The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.
ISBN: 9788132236436$q(electronic bk.)
Standard No.: 10.1007/978-81-322-3643-6doiSubjects--Topical Terms:
760292
Robust statistics
--Congresses.
LC Class. No.: QA276.A1
Dewey Class. No.: 519.5
Recent advances in robust statisticstheory and applications /
LDR
:02766nmm a2200313 a 4500
001
500049
003
DE-He213
005
20161110113548.0
006
m d
007
cr nn 008maaau
008
170621s2016 ii s 0 eng d
020
$a
9788132236436$q(electronic bk.)
020
$a
9788132236412$q(paper)
024
7
$a
10.1007/978-81-322-3643-6
$2
doi
035
$a
978-81-322-3643-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276.A1
072
7
$a
PBT
$2
bicssc
072
7
$a
K
$2
bicssc
072
7
$a
BUS061000
$2
bisacsh
082
0 4
$a
519.5
$2
23
090
$a
QA276.A1
$b
R295 2016
245
0 0
$a
Recent advances in robust statistics
$h
[electronic resource] :
$b
theory and applications /
$c
edited by Claudio Agostinelli ... [et al.].
260
$a
New Delhi :
$b
Springer India :
$b
Imprint: Springer,
$c
2016.
300
$a
x, 201 p. :
$b
ill., digital ;
$c
24 cm.
520
$a
This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12-16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods. The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.
650
0
$a
Robust statistics
$v
Congresses.
$3
760292
650
1 4
$a
Statistics.
$3
182057
650
2 4
$a
Statistics for Business/Economics/Mathematical Finance/Insurance.
$3
274062
650
2 4
$a
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
$3
348605
650
2 4
$a
Statistics for Life Sciences, Medicine, Health Sciences.
$3
274067
650
2 4
$a
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
$3
274394
650
2 4
$a
Statistics and Computing/Statistics Programs.
$3
275710
650
2 4
$a
Biostatistics.
$3
339693
700
1
$a
Agostinelli, Claudio.
$3
763213
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-81-322-3643-6
950
$a
Mathematics and Statistics (Springer-11649)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000134414
電子館藏
1圖書
電子書
EB QA276.A1 R295 2016
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-81-322-3643-6
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login